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A computation is any type of arithmetic or non-arithmetic calculation that is well-defined. Common examples of computation are mathematical equation solving...

In computational complexity and cryptography, two families of distributions are computationally indistinguishable if no efficient algorithm can tell the...

normally computationally irreducible. Computationally irreducibility systems are hard to predict or simulate. The Principle of Computational Equivalence...

scientists do not know about. Realistic brain models are the most computationally heavy and the most expensive to implement. Simplifying Brain Models:...

A computational model uses computers to simulate and study complex systems in various fields of computational science, spanning from physics, engineering...

theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage...

Lateral computing, alternative approaches to solving problems computationally Model of computation Transcomputational problem See regular expressions for the...

more specifically in computability theory and computational complexity theory, a model of computation is a model that describes how an output of a mathematical...

The limits of computation are governed by a number of different factors. In particular, there are several physical and practical limits to the amount...

study of computational geometric algorithms, and such problems are also considered to be part of computational geometry. While modern computational geometry...

Computational finance is a branch of applied computer science that deals with problems of practical interest in finance. Some slightly different definitions...

computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation...

model of computation, a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal...

Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield...

Ostrovsky in the computational setting. Since then, very efficient solutions have been discovered. Single database (computationally private) PIR can be...

Computational anatomy is an interdisciplinary field of biology focused on quantitative investigation and modelling of anatomical shapes variability. It...

algorithmically and computationally". Projects at the Educational Development Center have shown success developing computational literacy at pre-school...

firmware, networking, and data management components needed to solve computationally demanding problems The computing infrastructure that supports both...

Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate...

Computational engineering is an emerging discipline that deals with the development and application of computational models for engineering, known as computational...

associated with objective lenses because the image is reconstructed computationally rather than formed directly by a lens. However, successful reconstruction...

intractable problems" [sic]. The term 'Computational statistics' may also be used to refer to computationally intensive statistical methods including...

computationally bounded adversary model the channel – the adversary – is restricted to only being able to perform a reasonable amount of computation to...

Computational steering is the practice of manually intervening with an otherwise autonomous computational process, to change its outcome. The term is...

Computational social science is an interdisciplinary academic sub-field concerned with computational approaches to the social sciences. This means that...

Computational gastronomy is an interdisciplinary field combining computational science with culinary studies. It applies data-driven techniques to analyze...

computational overhead. Algorithms have been developed to produce faithful, faster running, simplified surrogate neuron models from computationally expensive...

Computational History (not to be confused with computation history), sometimes also called Histoinformatics, is a multidisciplinary field that studies...

Nucleotide Identity. These methods are highly specific, while being computationally slow. Other, alignment-free methods, include statistical and probabilistic...

analogy to Franco Moretti's 'distant reading' — understood in its later, computationally inflected sense — which had reframed literary analysis as the large-scale...

topology, or computational topology, is a subfield of topology with an overlap with areas of computer science, in particular, computational geometry and...

mathematics, the theory of computation is the branch that deals with what problems can be solved on a model of computation using an algorithm, how efficiently...

Computational lithography (also known as computational scaling) is the set of mathematical and algorithmic approaches designed to improve the resolution...

Computational law is the branch of legal informatics concerned with the automation of legal reasoning. What distinguishes Computational Law systems from...

Computational astrophysics refers to the methods and computing tools developed and used in astrophysics research. Like computational chemistry or computational...

complexity of inductive problems for ideal and computationally bounded agents. In short, computational epistemology is to induction what recursion theory...

Computational propaganda is the use of computational tools (algorithms and automation) to distribute misleading information using social media networks...

bioinformatics. The GACRC is a member of the Coalition for Academic Scientific Computation (CASC). The University of Georgia has registered almost 800 student organizations...

interactive computation is a mathematical model for computation that involves input/output communication with the external world during computation. Among...

The treatment of larger molecules that contain a few dozen atoms is computationally tractable by more approximate methods such as density functional theory...

lack hardware support for floating-point arithmetic and thus require computationally expensive software routines to produce floating point calculations...

Computational toxicology is a multidisciplinary field and area of study, which is employed in the early stages of drug discovery and development to predict...

Computational or algorithmic economics is an interdisciplinary field combining computer science and economics to efficiently solve computationally-expensive...

the computational cost of cryptanalysis to be secure (and thus can be broken by an attack with unlimited computation) is called computationally secure...

for computational science: the Center for Computational Astrophysics (CCA); the Center for Computational Biology (CCB); the Center for Computational Quantum...

neuroscience with those typical of computational science. The visual stimuli observed by people, such as images, are computationally processed to obtain a numerical...

websites and political debate transcripts. Various methods are used to computationally model the behavior of agents. Social network analysis is often used...

Fundamental areas of computer science Computer science is the study of computation, information, and automation. Included broadly in the sciences, computer...

with increasing computational power, extended the decimal representation of π to hundreds of trillions of digits. These computations are motivated by...

computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources...

Computational photography refers to digital image capture and processing techniques that use digital computation instead of optical processes. Computational...

typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and...

AI-based computational models as applied to large-scale/high-dimensional learning, assessment, biometric, or psychological data. Computational psychometrics...

Computational magnetohydrodynamics (CMHD) is a rapidly developing branch of magnetohydrodynamics that uses numerical methods and algorithms to solve and...

observable stochastic game (POSG), but few realistic problems are computationally feasible in POSG representation. These are games the play of which...

Computation of time may refer to: Computation of time (Catholic canon law) Computation of time (law) Process (computing) This disambiguation page lists...

Computational physics is the study and implementation of numerical analysis to solve problems in physics. Historically, computational physics was the...

Reverse computation is a software application of the concept of reversible computing. Because it offers a possible solution to the heat problem faced...

Developmental Biology. He is also co-director of the Institute for Computationally Designed Organisms with Josh Bongard. Michael Levin was born in Moscow...

thinking computationally is a fundamental skill for everyone, not just computer scientists, and argues for the importance of integrating computational ideas...

Computational logic is the use of logic to perform or reason about computation. It bears a similar relationship to computer science and engineering as...

computer science, computer algebra, also called symbolic computation or algebraic computation, is a scientific area that refers to the study and development...

apart from other approaches is its focus on developing and applying computationally intensive techniques to achieve this goal. Examples include: pattern...

Geocomputation (also spelled GeoComputation) is a field of study at the intersection of geography and computation. Geoinformatics Geomathematics Geographic...

Computational immunology is a field within immunology that applies computational methods to analyze immune-related data and model immune system processes...

Neural computation is the information processing performed by networks of neurons. Neural computation is affiliated with the philosophical tradition of...

Evolutionary Algorithms Since generating the entire Pareto front is often computationally-hard, there are algorithms for computing an approximate Pareto-front...

science observation Koomey's law – Electronic hardware trend Limits of computation List of eponymous laws – Adages and sayings named after a person List...

Computational epidemiology is a multidisciplinary field that uses techniques from computer science, mathematics, geographic information science and public...

A Turing machine is a mathematical model of computation describing an abstract machine that manipulates symbols on a strip of tape according to a table...

algorithms. A large part of computational mathematics consists roughly of using mathematics for allowing and improving computer computation in areas of science...

Computational cognition (sometimes referred to as computational cognitive science or computational psychology or cognitive simulation) is the study of...

benchmark for many optimization methods. Even though the problem is computationally difficult, many heuristics and exact algorithms are known, so that...

of "outsourcing" computation to untrusted users in projects such as SETI@home and also to the growing desire to enable computationally-weak devices to...

preimage resistance: for essentially all pre-specified outputs, it is computationally infeasible to find any input that hashes to that output; i.e., given...

of atoms to model plastic deformation, which would be prohibitively computationally expensive, discrete dislocation dynamics (DDD) simulates the movement...

optimal MSA given the scoring function. Because the method is highly computationally intensive, an approximate method in which initial guesses for the interior...

mathematics, quadrature is a historic term for the computation of areas and is thus used for computation of integrals. The word is derived from the Latin...

so by any known practical means. These schemes are therefore termed computationally secure; theoretical advances, e.g., improvements in integer factorization...

design computing and other relevant terms including design and computation and computational design refer to the study and practice of design activities...

argument is a proof technique used to show that two distributions are computationally indistinguishable. Hybrid arguments had their origin in the papers...

Algebra can essentially be considered as doing computations similar to those of arithmetic but with non-numerical mathematical objects. However, until...

A computation tree is a representation for the computation steps of a non-deterministic Turing machine on a specified input. A computation tree is a rooted...

symbiotic human–computer interaction. For computationally difficult tasks such as image recognition, human-based computation plays a central role in training deep...

processing system and that cognition and consciousness together are a form of computation. It is closely related to functionalism, a broader theory that defines...

The Computational Geometry Algorithms Library (CGAL) is an open source software library of computational geometry algorithms. While primarily written in...

these properties are perfectly binding and computationally hiding commitment schemes and computationally binding and perfectly hiding commitment schemes...

Computational thermodynamics is the use of computers to simulate thermodynamic problems specific to materials science, particularly used in the construction...

peer-reviewed scientific journals that focus on bioinformatics and computational biology. BioData Mining Bioinformatics Bioinformatics and Biology Insights...

computation is a type of computation which allows threads to either spawn new threads or converge many threads to one. The aim of nuclear computation...

The Computational Brain is a book by Patricia Churchland and Terrence J. Sejnowski and published in 1992 by The MIT Press, Cambridge, Massachusetts, ISBN 0-262-03188-4...

the security of public key cryptographic systems, is believed to be computationally infeasible on a classical computer for large integers that are the...

ternary LLM) is a type of large language model (LLM) designed to be computationally efficient. It achieves this by using weights that are restricted to...

instruction that moves the tape head by one cell. The two languages are computationally equivalent; that is, it is possible to transform any P′′ program into...

another unproven computational hardness assumption according to which accurately approximating the value of certain games is computationally infeasible. If...

of Computational Intelligence was introduced by Bezdek: A system is computationally intelligent when it: deals with only numerical (low-level) data, has...

Mathematics of Computation is a bimonthly mathematics journal focused on computational mathematics. It was established in 1943 as Mathematical Tables...

epigenome datasets, computational methods play an increasing role in all areas of epigenetic research. Research in computational epigenetics comprises...

evaluations increase the computational complexity (or computational cost) of each iteration. In some cases, the computational complexity may be excessively...

Computational RAM (C-RAM) is random-access memory with processing elements integrated on the same chip. This enables C-RAM to be used as a SIMD computer...

of algorithms is an approach to estimate the computational complexity of an algorithm or a computational problem. It starts from an assumption about a...

computing is a computational model that uses peptides and antibodies to solve NP-complete problems and has been shown to be computationally universal. It...

research in computational geometry. He is a researcher at the IBM Almaden Research Center, and co-editor-in-chief of Discrete and Computational Geometry...

Computational audiology is a branch of audiology that employs techniques from mathematics and computer science to improve clinical treatments and scientific...

flow variables. It is computationally very demanding and unsuitable for any commercial use. In this approach the computational domain is split into different...

neuroscientific plausibility. Connectionism has proven useful for exploring computationally how cognition emerges in development and occurs in the human brain...

Computational criminology is an interdisciplinary field which uses computing science methods to formally define criminology concepts, improve our understanding...

more computationally expensive than playing back pre-rendered images, pre-rendering can be used where real-time rendering is not computationally feasible...

In computational geometry, the cone algorithm is an algorithm for identifying the particles that are near the surface of an object composed of discrete...

The Swartz Prize for Theoretical and Computational Neuroscience is an annual award supported by the Swartz Foundation and administered by the Society...

events about uses of computational tools in biotechnology and similar fields (except for improvements to the underlying computational tools) as well as events...

mean of ⁠ X {\displaystyle X} ⁠. This equation should not be used for computations using floating-point arithmetic, because it suffers from catastrophic...

Cognitive Computation is an international, peer-reviewed scientific journal, interdisciplinary journal that publishes articles describing original basic...

linear algebra, the computation of the permanent of a matrix is a problem that is thought to be more difficult than the computation of the determinant...

Indeterminacy in concurrent computation is concerned with the effects of indeterminacy in concurrent computation. Computation is an area in which indeterminacy...

data entry was done primarily with paper tape or punch cards and was computationally limited. Due to the high cost of this research, projects tended to...

Computation offloading is the transfer of resource intensive computational tasks to a separate processor, such as a hardware accelerator, or an external...

Distributed computing also refers to the use of distributed systems to solve computational problems. In distributed computing, a problem is divided into many tasks...

developing methods for solving physics and fluid mechanics problems computationally. His early work introduced several widely used numerical methods for...

property of formal systems that evolve in time (often conceptualized as a computation), in which complete information about the internal state of the system...

World Association of Theoretical and Computational Chemists for "one outstanding theoretical and computational chemist". Prior to 1991, winners were...

computer science, a computation history is a sequence of steps taken by an abstract machine in the process of computing its result. Computation histories are...

between nodes about the content of the blockchain is achieved using a computationally intensive process based on proof of work, called mining, which is performed...

programming language developed by Wolfram Research. It emphasizes symbolic computation, functional programming, and rule-based programming and can employ arbitrary...

Computational semantics is a subfield of computational linguistics. Its goal is to elucidate the cognitive mechanisms supporting the generation and interpretation...

Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations...

fast computations is sometimes used for finding smaller regions of interesting image data which can be further analyzed by more computationally demanding...

they can be easily used to generate the sequence. It is sometimes a computationally intensive method. The theoretic basis for the Kolmogorov complexity...

Neurological Institute, McGill University Led by Alan Evans, MCIN conducts computationally-intensive brain research using innovative mathematical and statistical...

known for his research in computational complexity theory, especially in parameterized complexity, graph theory, computational social choice, and social...

theorem. From a computational perspective, such domain restrictions are useful to speed up winner determination problems, both computationally hard single-winner...

is also related to information retrieval, knowledge representation, computational linguistics, and linguistics more broadly. Major processing tasks in...

multi-arm bandit problems are biologically plausible, despite being computationally demanding. Many strategies exist which provide an approximate solution...

natural computational problems occurring throughout computer science are computationally intractable, and it drove interest in the study of NP-completeness...

applied mathematics from MIT in 1995 (his dissertation was called "Computationally Efficient Error-Correcting Codes and Holographic Proofs"). From 1996...

In computational geometry, polygon triangulation is the partition of a polygonal area (simple polygon) P into a set of triangles, i.e., finding a set...

them which would require choosing a number very close to zero or one. Computationally, this method involves computing the quantile function of the distribution...

cognitive dissonance and other forms of mental mobilization. It has been computationally modelled in an affective computing model. If someone is currently in...

draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally...

social structure". While IQS seems to be computationally hard, modeling of social structure in terms of a computational process as described above gives a chance...

The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on natural language processing. Its...

Information and Computation is a closed-access computer science journal published by Elsevier (formerly Academic Press). The journal was founded in 1957...

models from big data by trading off computation time for accuracy, when exact learning and inference are computationally intractable. Laplace's approximation...

Sven Leyffer is an American computational mathematician specializing in nonlinear optimization. He is a Senior Computational Mathematician in the Laboratory...

open-source computer algebra system for computational discrete algebra with particular emphasis on computational group theory. GAP was developed at Lehrstuhl...

In information security, computational trust is the generation of trusted authorities or user trust through cryptography. In centralised systems, security...

many of the centers still are supported.[citation needed] Center for Computational Biology National Center for Biomedical Ontology Simbios: Physics-based...

22 June 2013. Retrieved 8 September 2013. "TCS to buy tech startup 'Computational Research Labs' for $34 million". Economic Times. 16 August 2012. Archived...

Concurrent computing is a form of computing in which several computations are executed concurrently—during overlapping time periods—instead of sequentially—with...

computationally equivalent to standard TMs in terms of the functions they can compute, establishing that reversibility does not limit computational power...

1st-page links. • Kenneth L. Judd, 2006. "Computationally Intensive Analyses in Economics," Handbook of Computational Economics, v. 2, ch. 17, Introduction...

Cantwell Smith's 1982 doctoral dissertation introduced the notion of computational reflection in procedural programming languages and the notion of the...

different runs, as opposed to a deterministic algorithm. Different models of computation give rise to different reasons that an algorithm may be non-deterministic...

In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that...

investment in technologies and platforms in genomics, synthetic biology, computationally derived therapeutics, advanced materials, and diagnostics. In September...

blockchain, the term "smart contract" has been applied to general purpose computation that takes place on a blockchain. The US National Institute of Standards...

and computational applications, ranging from biology (evolution, family trees, epidemiology) to information science (citation networks) to computation (scheduling)...

handy. The mechanical calculator was also developed as a tool for hand computation. These calculators evolved into electronic computers in the 1940s, and...

found and the value of the optimal solution. As with many useful but computationally complex algorithms, there has been substantial research on creating...

However, training of recurrent neural networks is challenging and computationally expensive. Reservoir computing reduces those training-related challenges...

needed]. AI researchers argued that they could create new ontologies as computational models that enable certain kinds of automated reasoning, which was only...

quantum states to decohere and introduce errors in traditional quantum computations, such perturbations do not alter the topological properties of the braids...

an arc of y = x2 better than a line. Hyperbolic estimates are more computationally complex, because they necessarily require a floating division. A near-optimal...

sequence. Keith numbers were introduced by Mike Keith in 1987. They are computationally very challenging to find, with only about 125 known. Let n {\displaystyle...

Bioinformatics and Computational Biology. He was also appointed vice-president of African Society for Bioinformatics and Computational Biology. In 2010...

algorithm, etc.). Artificial intelligence AI effect Emergence Evolutionary computation Fuzzy logic Genetic algorithm Heuristic Emergent behaviors of a fuzzy...

Ecstatic Computation is a studio album by Italian composer Caterina Barbieri. It was released on 3 May 2019 through Editions Mego. It received universal...

Fair computational tree logic is conventional computational tree logic studied with explicit fairness constraints. This declares conditions such as all...

Advanced Study, where he is departmental chair of the Department of Computational Social Science. He is also a member of the External Faculty of the Santa...

Ravi P. Agarwal; Hans Agarwal; Syamal K. Sen (2013). "Birth, growth and computation of pi to ten trillion digits". Advances in Difference Equations. 2013...

Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory, whose purpose is support of research in theoretical computer...

COMBINE, the COmputational Modeling in BIology NEtwork, is an initiative to coordinate the development of the various community standards and formats...

machine intelligence or computational development, is an area of computer science and engineering concerned with computational models motivated by genotype–phenotype...

sophisticated methodologies than pairwise alignments, as they are more computationally complex. Most multiple sequence alignment programs use heuristic methods...

basis computation allows one to remove from V all irreducible components which are contained in a given hypersurface. A Gröbner basis computation allows...

Schwarzkopf) is a German computational geometer working in South Korea at KAIST. He is known as one of the authors of the widely used computational geometry textbook...

paper folds to solve mathematical equations up to the third order. Computational origami is a recent branch of computer science that is concerned with...

Computational informatics is a subfield of informatics that emphasizes issues in the design of computing solutions rather than its underlying infrastructure...

In quantum computation, the Hadamard test is a method used to create a random variable whose expected value is the expected real part R e ⟨ ψ | U | ψ...

single Java Virtual Machine (JVM) or between multiple JVMs. An isolated computation is described as an Isolate that can communicate and exchange resource...

SAC (source of activation confusion) is a computational model of memory encoding and retrieval. It has been developed by Lynne M. Reder at Carnegie Mellon...

Computational philosophy or digital philosophy is the use of computational techniques in philosophy. It includes concepts such as computational models...

IEEE Journal on Multiscale and Multiphysics Computational Techniques is a peer-reviewed scientific journal published by the Institute of Electrical and...

}}s{\text{ steps.}}\\0&{\text{otherwise }}\end{cases}}} Now suppose that the computation ϕ X ( z ) {\displaystyle \phi ^{X}(z)} converges in s {\displaystyle...

general. Eugene Salamin (1976). "Computation of $\pi$ Using Arithmetic-Geometric Mean". Mathematics of Computation. 30 (135): 565–570. JSTOR 2005327...

unsupervised learning of deep generative models. However, those were more computationally expensive compared to backpropagation. Boltzmann machine learning algorithm...

cryptographic accelerator is a co-processor designed specifically to perform computationally intensive cryptographic operations, doing so far more efficiently than...

original developers of the Cactus Framework for parallel scientific computation. She is a professor of mathematics and statistics at the University of...

The Internet Con: How to Seize the Means of Computation is a 2023 non-fiction book by journalist and internet activist Cory Doctorow. The central thesis...

The National Laboratory of Scientific Computation or the National Laboratory for Scientific Computing (LNCC; Portuguese: Laboratório Nacional de Computação...

mobility means both computation carried out on mobile devices (i.e. networks that have a dynamic topology), and mobile computation (i.e. executable code...

computers. Digital physics Computation Theory of computation Reversible computation Hypercomputation Limits to computation Bremermann's limit Bekenstein...

In computational complexity theory, a computational resource is a resource used by some computational models in the solution of computational problems...

science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. One well...

Ever Open Source initiative Taylor, J. M. and Mazlack, L. J. (2004). "Computationally recognizing wordplay in jokes". In Proceedings of Cognitive Science...

identification of many theoretical and practical problems as being computationally difficult. Richard M. Karp at the Mathematics Genealogy Project. Richard...

This is usually used when more advanced shading techniques are too computationally expensive. Specular highlights are rendered poorly with flat shading:...

(see below). Is a field that utilizes various imaging modalities and computational techniques to model and quantify the spatiotemporal dynamics of neuroanatomical...

at the Saarland University, was designed to accelerate some of the computationally intensive operations of ray tracing. The idea that video games could...

a branch of mathematical logic, computer science, and the theory of computation that originated in the 1930s with the study of computable functions and...

Chinese computational linguistics is a subset of computational linguistics; it is the scientific study and information processing of the Chinese language...

at most ε. In typical applications, the class F describes a model of computation with bounded resources and one is interested in designing distributions...

University of Technology who specializes in computational mechanics and engineering mechanics. He pioneered computational mechanics in China and served as the...

associated with developments in computational engineering. He was Emeritus Professor at the Centre for Civil and Computational Engineering at Swansea University...

by requiring more gates in the computations. For example, the ternary addition, while achieving the same computational speed as binary addition, requires...

mathematical expressions in a way similar to the traditional manual computations of mathematicians and scientists. The development of the computer algebra...

action, as a form of ontology. Techniques for extracting an ontology or computational lexicon have been proposed. A core glossary is a simple glossary or...

of possible strategy vectors grows exponentially, and the computation becomes computationally hard. There are various algorithms that work well in practice...

debate about the relative merits of CTL and LTL. Because CTL is more computationally efficient to model check, it has become more common in industrial use...

A computational gene is a molecular automaton consisting of a structural part and a functional part; and its design is such that it might work in a cellular...

for local noisy errors. A quantum error-correcting code makes quantum computation and quantum communication practical by providing a way for a sender and...

the fact that it has made working in the frequency domain equally computationally feasible as working in the temporal or spatial domain. Some of the...

The MIT Computation Center was organized in 1956 as a 10-year joint venture between the Massachusetts Institute of Technology and IBM to provide computing...

computing refers to computational systems that use very large numbers of identical, parallel processors each having limited computational ability and local...

languages are to computations. An alternate formulation states that protocols are to communication what algorithms are to computation. Multiple protocols...

Such formulas for calculating primes do exist; however, they are computationally very slow, compared to a simple algorithm for prime-finding. A number...

Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem...

List of numerical computational geometry topics enumerates the topics of computational geometry that deals with geometric objects as continuous entities...

the subfield of computational complexity theory that deals with complexity classes defined using quantum computers, a computational model based on quantum...

technology. Computer scientists typically work on the theoretical side of computation. Although computer scientists can also focus their work and research...

requires computationally expensive simulations or experiments. SAEAs address this challenge by building a surrogate model, which is a computationally inexpensive...

or PowerPC processors, which did not necessarily translate to more computational power; a processor with a slower clock frequency might perform as well...

compositional computations called computation expressions. Sequence expressions, asynchronous computations and queries are particular kinds of computation expressions...

respectively computationally bounded adversary if the output of the simulator is statistically close to, respectively computationally indistinguishable...

Molecular computational identification (MCID) is a technique in which molecules are used as means for identifying individual cells or nanodevices. RFID...

In computational linguistics and computer science, edit distance is a string metric, i.e. a way of quantifying how dissimilar two strings (e.g., words)...

University in San Antonio, Texas. Bachrach is the author of the textbook Computational Organic Chemistry. Bachrach earned a Bachelor of Science degree from...

In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm...

data. The trade-off for these features is increased computation. Because it is so computationally intensive, LOESS would have been practically impossible...

outputs from one system to another. Consequently, most systems are computationally equivalent. Proposed examples of such systems are the workings of the...

computational cognition at the School of Informatics, University of Edinburgh and director at the Institute for Language, Cognition and Computation....

A non-local quantum computation (or NLQC) is a distributed method of performing a quantum computation; the method involves shared entanglement and a single...

Mark de Berg is a Dutch computational geometer, known as one of the authors of the textbook Computational Geometry: Algorithms and Applications (with...

Mosers another centre of excellence, known as the Centre for Neural Computation (Norwegian: Senter for nevrale nettverk). CMB was later continued as...

to reach consensus, or agree on some data value that is needed during computation. Example applications of consensus include agreeing on what transactions...

modeled surface. However, for many problems, MoM are significantly computationally less efficient than volume-discretization methods (finite element method...

extracting an isosurface from volume data. Direct volume rendering is a computationally intensive task that may be performed in several ways. Focal plane tomography...

Selection Problem. Springer Gabler. Borodin, A.; El-Yaniv, R. (1998). Online Computation and Competitive Analysis. Cambridge University Press. ISBN 0-521-56392-5...

intelligence proposes a Bayesian approach to formalize speech acts In 1991, computational speech act models of human–computer conversation were developed, and...

Correct Computation (PACC)). The hard problem associated with the evaluation of the discrepancy loss between the approximated and the correct computation can...

Hamiltonian quantum computation is a form of quantum computing. Unlike methods of quantum computation such as the adiabatic, measurement-based and circuit...

Hook Richens (1919–1984) was a botanist and an early researcher in Computational Linguistics. R. H. Richens was the Director of the Commonwealth Bureau...

relate full Fourier information. Original images are reconstructed computationally after acquisition, or if raw Fourier coefficients are more useful for...

level. These calculations make approximations to make simulations computationally feasible while capturing the relevant contributions to the computed...

Counterfactual quantum computation is a method of inferring the result of a computation without actually running a quantum computer otherwise capable of...

Technology. He is known for his works on Computational Optimization, Scientific Computing, Matrix Computations, Mathematical Software and Fuzzy Optimization...

The Israel InterUniversity Computation Center (IUCC), implements, operates and maintains the national research and education network (NREN) of Israel...

David Baker (born October 6, 1962) is an American biochemist and computational biologist who has pioneered methods to design proteins and predict their...

cryptocurrencies, such as Bitcoin. Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions...

became computationally untenable. (In practice, even a straightforward state space search such as the Towers of Hanoi can become computationally infeasible...

Majumder is a computational epidemiologist and a faculty member at Harvard Medical School and Boston Children's Hospital's Computational Health Informatics...

communication and swallowing disorders. Computational linguistics is the study of linguistic issues in a way that is "computationally responsible", i.e., taking careful...

and least-cost path analysis as these approaches are sufficiently computationally complex that they are extremely difficult if not impossible to implement...

finite automaton, or simply a state machine, is a mathematical model of computation. It is an abstract machine that can be in exactly one of a finite number...

present in the binary expansion of n. For n greater than about 4 this is computationally more efficient than naively multiplying the base with itself repeatedly...

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale...

the input number is prime or not. Factorization is thought to be a computationally difficult problem, whereas primality testing is comparatively easy...

Hiyama (Japanese: 肥山 詠美子) is a Japanese computational nuclear physicist whose research concerns computational methods for few-body systems of nucleons...

holdings in the associated cryptocurrency. This is done to avoid the computational cost of proof-of-work (PoW) schemes. The first functioning use of PoS...

on standard computer keyboards for a 10-character password yields a computationally intractable 59,873,693,923,837,890,625 (9510, approximately 5.99×1019)...

sub-computations with what the programmer intended. The technique constructs an internal representation of all computations and sub-computations performed...

mathematics and neuroscience. He is actively doing research in the field of Computational Neuroscience. In 1989, Chakravarthy was graduated from the Indian Institute...

The Computationally Advanced Infrastructure Partnerships (CAIP) Center (formerly the Center for Advanced Information Processing) is an advanced technology...

possible cloud structure for the whole globe is computationally very expensive. On the other hand, a computationally feasible Global climate model (GCM), with...

extension to the knowledge economy caused by ubiquitous access to automated computation. Wolfram argues "The value- chain of knowledge is shifting. The question...

Windows, macOS, Android, iOS and iPadOS. It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language...

In computational geometry, the diameter of a finite set of points or of a polygon is its diameter as a set, the largest distance between any two points...

theoretical computer science and computational theory, a nondeterministic Turing machine (NTM) is a theoretical model of computation whose governing rules specify...

Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics....

A matrioshka brain is a hypothetical megastructure of immense computational capacity powered by a Dyson sphere. It was proposed in 1997 by Robert J. Bradbury...

or often-used data items in memory locations which are faster, or computationally cheaper to access, than normal memory stores. When the cache is full...

the PCP theorem for quantum nonlocal games would state that it is computationally hard to approximate the quantum value of a quantum nonlocal game. In...

ACC0, sometimes called ACC, is a class of computational models and problems defined in circuit complexity, a field of theoretical computer science. The...

orientation (relative to the start of the chain). IK operations are computationally much more complex than forward kinematics, in which joint parameters...

unpredictable. As such, floating-point processors are ideally suited for computationally intensive applications. FLOPS and MIPS are units of measure for the...

Bruce Randall Donald (born 1958) is an American computer scientist and computational biologist. He is the James B. Duke Professor of Computer Science and...

Retrieved October 3, 2011. Manyem, Prabhu (2010). "Duality Gap, Computational Complexity and NP Completeness: A Survey". arXiv:1012.5568 [math.OC]...

original research from all areas of theoretical computer science, such as computational complexity, algorithms and data structures, or parallel and distributed...

mathematical model of concurrent computation that treats an actor as the basic building block of concurrent computation. In response to a message it receives...

depicted similarly but with the original product kept horizontal and computation starting with the first digit of the multiplier: 23958233 · 5830 ———————————————...

handle irregularly sampled data, have unbounded context, and remain computationally efficient both during training and testing. Mamba, building on the...

of Oxford. Her research interests include mobile concurrent computation, mobile computation and web services. She was awarded the title of an EPSRC Established...

Cepstral mean and variance normalization (CMVN) is a computationally efficient normalization technique for robust speech recognition. The performance...

Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided...

may require very short time-steps, making simulations inefficient computationally. A third approach is to use a method such as Lagrange multipliers or...

Theoretical Chemistry Accounts: Theory, Computation, and Modeling is a peer-reviewed scientific journal publishing original (primary) research and review...

the problem of finding proofs (automated theorem proving) is usually computationally intractable and/or only semi-decidable, depending upon the formal system...

An analog computer or analogue computer is a type of computation machine (computer) that uses physical phenomena such as electrical, mechanical, or hydraulic...

file size), providing 2- to 4-fold better compression and is less computationally intensive than the leading general-purpose compression utilities. For...

to Java for secure distributed programming. E combines message-based computation with Java-like syntax. A concurrency model based on event loops and promises...

The Computation and Neural Systems (CNS) program was established at the California Institute of Technology in 1986 with the goal of training PhD students...

editor of the American Chemical Society Journal of Chemical Theory and Computation and a fellow of the American Association for the Advancement of Science...

(LBM) with its simplified kinetic picture on a lattice provides a computationally efficient description of hydrodynamics. Unlike the traditional CFD...

computing itself. A significant challenge to optical computing is that computation is a nonlinear process in which multiple signals must interact. Light...

brain's structure and function. It uses artificial neurons to perform computations, mimicking neural systems for tasks such as perception, motor control...

Discrete & Computational Geometry is a peer-reviewed mathematics journal published quarterly by Springer. Founded in 1986 by Jacob E. Goodman and Richard...

definition of computability must refer to a specific model of computation. Many such models of computation have been proposed, the major ones being Turing machines...

A notebook interface or computational notebook is a virtual notebook environment used for literate programming, a method of writing computer programs...

planning for high-dimensional systems under complex constraints is computationally intractable. Potential-field algorithms are efficient, but fall prey...

than the direct computation if N and the number of operations are large. This is widely used, under the name multi-modular computation, for linear algebra...

to be secure under the assumption that certain lattice problems are computationally difficult. There are five 2D lattice types as given by the crystallographic...

larger number of states than the NFA. However, even though NFAs are computationally equivalent to DFAs, the above-mentioned problems are not necessarily...

the nature of computation and explore which problems can be solved computationally. Computer architecture has parallels with cognitive architecture, providing...

variables, the processes of model training and inference are often computationally infeasible, so approximate inference and learning methods are used...

Levinthal's paradox is a thought experiment in the field of computational protein structure prediction that concerns the mechanism through which peptides...

analytical methods and tools such as econometrics, statistics, economics computational models, financial economics, regulatory impact analysis and mathematical...

nonlinear physics. The research can be theoretical, experimental, or computational. The award was established by the APS Topical Group on Statistical and...

finite element methods require a finite, truncated grid to remain computationally feasible. Without an effective absorbing boundary condition, waves...

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful...

German-born computer scientist known for his work in the fields of computational imaging, computer vision, computer graphics and deep learning. He is...

transform, random projection, etc. Random projection is a simple and computationally efficient way to reduce the dimensionality of data by trading a controlled...

In computer networks, a path computation element (PCE) is a system component, application, or network node that is capable of determining and finding...

Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications...

operations Computational fluid dynamics especially using lattice Boltzmann methods Cryptography and cryptanalysis Performance modeling: computationally intensive...

CICLing (International Conference on Computational Linguistics and Intelligent Text Processing; before 2017 known under the name International Conference...

pattern, in which successful AI techniques are reclassified as routine computation or absorbed into other domains. Historian Pamela McCorduck described...

Metaprogramming can be used to move computations from runtime to compile time, to generate code using compile time computations, and to enable self-modifying...

least a minimal amount of computation on the client side. Legitimate users would experience just a negligible computational cost, but abuse would be deterred:...

not enough as they are not designed to be collision resistant; it is computationally trivial for an attacker to cause deliberate hash collisions, meaning...

network (machine learning), a network of mathematical neurons used in computation Neural network or Neural Networks may also refer to: Neural Networks...

behavioral, electrophysiological, and computational work. Linster was the founding President of the Organization for Computational Neurosciences (OCNS), which was...

when dealing with persistent immutable data structures might seem computationally costly, some functional programming languages, like Clojure solve this...

American theoretical computer scientist. His textbooks on theory of computation (also known as the Cinderella book) and data structures are regarded...

should take given the constraints that they draw their strategies from computationally bounded sets and introduce “grace periods” to prevent the dominance...

scientific programming language for scientific computing and numerical computation. Among other things, Octave can be used to solve linear and nonlinear...

professor of computational and applied mathematics [1] at Virginia Tech in Blacksburg, Virginia. Until 2013, he was a professor of computational and applied...

may refer to: Nearest neighbor search in pattern recognition and in computational geometry Nearest-neighbor interpolation for interpolating data Nearest...

In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages (also...

scientists, engineers, surveyors, and others to perform high-accuracy computations more easily. Using logarithm tables, tedious multi-digit multiplication...

century has seen the rise of new analytically, mathematically, and computationally rigorous techniques, such as agent-based modelling and social network...

In computer science, a computation is said to diverge if it does not terminate or terminates in an exceptional state. Otherwise it is said to converge...

depth of the model was essential for its high performance, which was computationally expensive, but made feasible due to the utilization of graphics processing...

Neuromimetic intelligence, also referred to as computational neuroscience, is a system in which computational models methods apply underlying concepts of...

Princeton University. Martinelli is known for his work in aerodynamics, computational science, and engineering design pertaining to a variety of vehicles...

For some people, such as Johannes Kepler, assisting a scientist in computation was a temporary position until they moved on to greater advancements...

International Society for Computational Biology (ISCB) in 2019 for outstanding contributions to the fields of computational biology and bioinformatics...

Böcker, Sebastian; Baumbach, Jan (2013), "Cluster editing", The nature of computation, Lecture Notes in Comput. Sci., vol. 7921, Springer, Heidelberg, pp. 33–44...

mechanics, functional analysis, algorithmic information theory and computational complexity. Andrey Kolmogorov was born in Tambov, about 500 kilometers...

intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of neural...

(or separate computers) to simultaneously perform a set of coordinated computations in parallel. GPUs are massively parallel architecture with tens of thousands...

The Center for Computation and Technology (CCT) is an interdisciplinary research center at Louisiana State University in Baton Rouge, Louisiana. The center...

Machine ethics (or machine morality, computational morality, or computational ethics) is a part of the ethics of artificial intelligence concerned with...

In computational complexity theory, a computational problem H is called NP-hard if, for every problem L which can be solved in non-deterministic polynomial-time...

In machine learning and computational learning theory, LogitBoost is a boosting algorithm formulated by Jerome Friedman, Trevor Hastie, and Robert Tibshirani...

Maple. Genius is aimed at mathematical experimentation rather than computationally intensive tasks. It is also very useful as just a calculator. The programming...

automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can perform generic sets of operations...

origins in artificial intelligence, automated theorem proving, and computational linguistics. Prolog has its roots in first-order logic, a formal logic...

μ-recursive functions, and the lambda calculus, all of which have computationally equivalent power. Other forms of computability are studied as well:...

of computation. Computable topology is not to be confused with algorithmic or computational topology, which studies the application of computation to...

tool for the mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry, biology and manufacturing...

Pulse computation is a hybrid of digital and analog computation that uses aperiodic electrical spikes, as opposed to the periodic voltages in a digital...

rated as moderately to strongly computer literate. Education portal Computational literacy Computing education Digital divide Digital literacy Information...

Charbel Farhat is an aerospace engineer and computational scientist who is the Vivian Church Hoff Professor of Aircraft Structures in the School of Engineering...

also known for his work on computational learning theory, hardness of approximation, property testing, quantum computation and quantum information. O'Donnell...

nanotechnology, catalysis, and soft matter and features both experimental and computational studies. Extended reviews are published in its companion journal, Surface...

Wing Kam Liu is an American mechanical engineer and computational scientist. He is the Walter P. Murphy Professor of Mechanical Engineering and Civil...

changes. In numerical analysis, many computational problems are solved by reducing them to a matrix computation, and this often involves computing with...

theory of computation and are, specifically, the interplay of randomness and computation, the foundations of cryptography, and computational complexity...

blueprint for software agents and control systems Agent-based model, a computational model for simulating the actions and interactions of individuals Agentic...

computer algebra system with the main aim of facilitating number theory computations. Versions 2.1.0 and higher are distributed under the GNU General Public...

Select the highest years of indexed and unindexed earnings to serve as Computation Years (CY) in the amount of the number of BY Add the indexed and unindexed...

optimization algorithms to improve the selection of parameters for computationally expensive partial differential equation models for lake hydrodynamics...

analytical formula might be elusive or the likelihood function might be computationally very costly to evaluate. ABC methods bypass the evaluation of the likelihood...

Bioinformatics (formerly the Victorian Life Sciences Computation Initiative, VLSCI) is a centre for computational life science expertise. It provides bioinformatics...

2, pg. 20). P is one of the largest complexity classes considered "computationally feasible". A much larger class using deterministic time is EXPTIME...

every occurrence of an "a" symbol present. Most P systems variants are computationally universal. This extends even to include variants that do not use rule...

In computational complexity theory, DSPACE or SPACE is the computational resource describing the resource of memory space for a deterministic Turing machine...

a task that required computational effort and thus served as a "proof of work." The idea was that by making it computationally expensive to send large...

Goldbach conjecture and computation of prime gaps up to 4 ⋅ 10 18 {\displaystyle 4\cdot 10^{18}} ". Mathematics of Computation. 83 (288): 2033–2060. doi:10...

are interpolated by Gouraud shading by default, rather than the more computationally-expensive Phong shading. In Phong shading, one must continually recalculate...

mentioned earlier some grammar formalisms are very difficult to parse computationally; in general, even if the desired structure is not context-free, some...

reflection model, to obtain the final pixel color. Phong shading is more computationally expensive than Gouraud shading since the reflection model must be computed...

environment to which the system is adapted. Computational Limitations: Make the minimal assumptions about computational limitations. Optimization: Derive the...

United States. Since 2002, he has been Principal Investigator of the Computational Biology Branch. In his research publications he goes by the name of...

practice to do so. Such schemes, if well designed, are therefore termed "computationally secure". Theoretical advances (e.g., improvements in integer factorization...

sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming...

Derivation Function 1 and 2) are key derivation functions with a sliding computational cost, used to reduce vulnerability to brute-force attacks. PBKDF2 is...

1998. The university is the home of the Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences...

structural biology, microbiology, virology, physiology, biophysics, and computational biology. The journal was established in 1974 by Benjamin Lewin and is...

bit-parallel counterparts which exploit bit-level parallelism to do more computation per clock cycle. There are modern variants of the serial computer available...

Encyclopedia of Philosophy mirror from the Institute for Logic, Language and Computation of the University of Amsterdam Stanford Encyclopedia of Philosophy mirror...

benefit of the common man", and the intention was to simplify astronomical computations so that everyone could do it. Parahita is a significant step in the simplification...

be demonstrated in the following example: A client device requires computationally intensive processing on video files to be performed on external servers...

method (FEM). His 1956 article was one of the first applications of this computational method. He coined the term "finite elements" in an article in 1960....

E. James Whitehead is Professor and Chair of Computational Media at the University of California, Santa Cruz, United States. He served as the Chair of...

important role in theoretical computer science where they are used to model computation with side effects. A (left) strong monad is a monad (T, η, μ) over a...

code top-level domain for Sierra Leone SL (complexity), a class of computational complexity Scientific Linux, a Linux distribution Service Loading, a...

In scientific computing and computational engineering, a superelement is a finite element method technique which consists of defining a new type of finite...

problem solving: on the relationiship between computational linguistics and artificial intelligence. – Computational Linguistics. An International Handbook (1989)...

previous state, and the result of the computation can be read in the states of the agents once the computation has converged. There is a set N = { 1 ...

of a real-world and an ideal-world execution. Interestingly, for a computationally unbounded environment it is not sufficient for distributions to be...

his contributions to the understanding of randomness in the theory of computation. Avi Wigderson was born in Haifa, Israel, to Holocaust survivors. Wigderson...

PLOS Computational Biology is a monthly peer-reviewed open access scientific journal covering computational biology. It was established in 2005 by the...

(abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience conference held annually in December. Along with ICLR and...

Christian Gaser is a German computational neuroscientist and Professor of Computational Neuroscience and Neuroimaging at the University of Jena.  He is...

However, galaxy classification and morphology are now largely done using computational methods and physical morphology. The Hubble sequence is a morphological...

until all guards are false. Zuse called a single program a Rechenplan ("computation plan"). He envisioned what he called a Planfertigungsgerät ("plan assembly...

Computational Visualistics is an interdisciplinary field focused on the use of computers to generate and analyze images, upon which is usually directly...

Bureau of Statistics, Guyana (July 2016). 2012 Census Compendium 2: Computation Composition (PDF) (Report). Archived from the original (PDF) on 2021-01-05...

data in the feature space. This operation is often computationally cheaper than the explicit computation of the coordinates. This approach is called the...

two computations A and B use the same routine S; a protected procedure is such if makes not possible for a malfunction of one of the two computation to...

the MSU/National Science Foundation Engineering Research Center for Computational Field Simulation, is a coalition of member centers and institutes that...

Proceedings of the 23rd International Conference on Computational Linguistics: Posters. Association for Computational Linguistics, 2010. Cinema, Telugu. "Welcome...

system with a dot for zero." Aryabhata's Aryabhatiya (499) includes the computation of areas and volumes. Brahmagupta wrote his astronomical work Brāhmasphuṭasiddhānta...

programming, explicit parallelism is the representation of concurrent computations using primitives in the form of operators, function calls or special-purpose...

state, i.e. the continuation is a data structure that represents the computational process at a given point in the process's execution; the created data...

third-generation, compiled, imperative programming language designed for numeric computation and scientific computing. Fortran was originally developed by IBM with...

keyboard, typewriter, etc. Data type, collection of values used for computations. File type TYPE (DOS command), a command to display contents of a file...

based on diffeomorphic metric mapping within the academic discipline of computational anatomy, to be distinguished from its precursor based on diffeomorphic...

part of the creative or presentational process. It can also refer to computational art that uses and engages with digital media. Since the 1960s, various...

June 1962) is a Chinese physicist. He is a computational physicist best known for studying computational physics. Gong was born into a family of farming...

Kamal Choudhary (born 1989) is an Indian American physicist and computational materials scientist in the thermodynamics and kinetics group at the National...

The ISCB Overton Prize is a computational biology prize awarded annually for outstanding accomplishment by a scientist in the early to mid stage of their...

FCT, the International Symposia on Fundamentals of Computation Theory is a biennial series of conferences in the field of theoretical computer science...

(/ˈwʊlfrəm/ WUUL-frəm) is an American multinational company that creates computational technology. Wolfram's flagship product is the technical computing program...

researcher in computational learning theory and algorithmic game theory, and interested in machine learning, artificial intelligence, computational finance...

logic study of the meaning of programming languages. Semantics assigns computational meaning to valid strings in a programming language syntax. It is closely...

approach would require a forward and inverse fourier transformation, computationally less demanding approximations like supersampling were developed to...

the portion relevant to computation, what is now called the untyped lambda calculus. In 1940, he also introduced a computationally weaker, but logically...

MoM / Physical Optics (PO) where computationally expensive MoM current elements are used to excite computationally inexpensive PO elements, inducing...

quantum computation—that is, any quantum algorithm can be expressed formally as a particular quantum Turing machine. However, the computationally equivalent...

during a computation (rather like power analysis). Differential fault analysis – in which secrets are discovered by introducing faults in a computation. Data...

more accurate computational predictions of polymer mechanical behavior and failure. His team used these techniques to computationally design CNT nanocomposites...

(born 1960), Anglican priest Sue Jones (computational biologist) (active since 1990), British computational biologist Susan Elan Jones (born 1968), British...

prime factors. Factorization of large integers is believed to be a computationally very difficult problem, and the security of many widely used cryptographic...

formulation for the mechanics, and a spectral formulation which is more computationally efficient due to the fast Fourier transform, but is based on the small...

the United States, and Australia. As of the 2020s, she specializes in computational social science. Fudolig was a sophomore at Quezon City Science High...

periodical has ISBN (link) Kearfott, Baker (1979-06-01). "An efficient degree-computation method for a generalized method of bisection". Numerische Mathematik...

granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task. Another definition of granularity takes...

In computability theory, the theory of real computation deals with hypothetical computing machines using infinite-precision real numbers. They are given...

computational problem of determining whether two finite graphs are isomorphic. Clearly, the graph canonization problem is at least as computationally...

Lyle Norman Long is an academic, and computational scientist. He is a Professor Emeritus of Computational Science, Mathematics, and Engineering at The...

electronic digital computers (for a comprehensive account, see chronology of computation of pi). On December 11, 2025, the current record was established by StorageReview...

Olea-Azar; Sebastin Miranda-Rojas; Patricio Fuentealba (2011). "A Computationally Efficient and Reliable Bond Order Measure". J. Phys. Chem. A. 115 (17):...

even-odd-equivalent before the intersection check. This, however, is computationally expensive. It is less expensive to use the fast non-zero winding number...

Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing...

approach has proven particularly powerful when the cost of sampling, e.g. computationally expensive simulations, is prohibitively high. Local expansion-based...

animations, games, stories, and more, while learning about mathematical and computational ideas. While inspired by Scratch, Snap! has many advanced features....

independent Max Planck Group Leader and, since November 2020, professor for Computational Neuroscience of Behavior at the Faculty of Medicine of the Rheinische...

is a professor of chemistry at Bar Ilan University, specializing in computational chemistry. Dan Major obtained his Ph.D. from the Chemistry Department...

quantum communication, measurement-based quantum computation, fault-tolerant quantum computation and error correction. Leung earned her Bachelor of...

gap between highly accurate but computationally intensive simulations like density functional theory and computationally lighter, but much less precise...

is a research institute specializing in computational mathematics. It was established to solve computational tasks related to government programs of nuclear...

Stein Aerts is a Belgian bio-engineer and computational biologist. He leads the Laboratory of Computational Biology at VIB and KU Leuven (University of...

direct integration of the differential equations can be prohibitively computationally expensive. Therefore, a number of refinements are commonly used. Numerical...

loop invariant hoisting often focus on eliminating redundant computation. Since computation requires CPU cycles, this is usually a good thing, but it has...

journal articles and a textbook called Numerical Analysis and Scientific Computation. "Faculty & Staff - Mathematics - Academic Departments - Academics |...

In computational mathematics, a matrix-free method is an algorithm for solving a linear system of equations or an eigenvalue problem that does not store...

In computational geometry, a bitonic tour of a set of point sites in the Euclidean plane is a closed polygonal chain that has each site as one of its...

time, power, and circuit area in computation. The reclaimed resources can be used for increased parallel computation, other functions, communication,...

two-dimensional diagram designed to allow the approximate graphical computation of a mathematical function. The field of nomography was invented in 1884...

during the training process. This approach has been used to yield computationally efficient physics-informed surrogate models with applications in the...

}\left(1+{\frac {1}{n}}\right)^{n},} an expression that arises in the computation of compound interest. It is the sum of the infinite series e = ∑ n =...

empirical data obtained experimentally, and theoretical data obtained computationally. Big data that can be used for machine learning is particularly difficult...

Centre for Quantum Computation (CQC) in the Clarendon Laboratory of the University of Oxford. He pioneered the field of quantum computation by formulating...

typically use computationally stronger 128- to 256-bit keys. There is a physical argument that a 128-bit symmetric key is computationally secure against...

with the Association for Computational Linguistics (ACL) and the North American Chapter of the Association for Computational Linguistics (NAACL), it is...

vs. NP problem is still unresolved, cryptographers cannot be sure computationally intractable problems exist. Cryptographers thus make assumptions as...

founded the Computation Finance and Economics Technical Committee Archived 5 February 2012 at the Wayback Machine in IEEE’s Computational Intelligence...

In cryptography and the theory of computation, Yao's test is a test defined by Andrew Chi-Chih Yao in 1982, against pseudo-random sequences. A sequence...

engine SEMPRIA-Search, where it is used for the description of the computational lexicon and the background knowledge, for the syntactic-semantic analysis...

very small set of keys is usually computationally infeasible; the resulting function is likely to be more computationally complex than a standard hash function...

the blackboard pattern is a behavioral design pattern that provides a computational framework for the design and implementation of systems that integrate...

"DCT". Nonlinear dimensionality reduction techniques tend to be more computationally demanding than PCA. PCA is sensitive to the scaling of the variables...

In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate...

storing and copying that information into a computer system or another computational device. The biological brain may not survive the copying process or...

the rudiments of Roman astronomy to the use of ancient astronomical computational methods learned from Arabic zijes and other Islamic sources. Walcher...

She is currently the co-editor-in-chief of Higher-Order and Symbolic Computation. Talcott married John McCarthy (computer scientist) and had a son. Carolyn...

coronal mass ejections, condensed matter physics, and pattern theory and computational vision. In crystals, atomic diffusion typically consists of jumps between...

mathematics at the University of Vermont. He is known for his work in computational social science, particularly for developing the Hedonometer, a tool...

The Journal of Logic and Computation is a peer-reviewed academic journal focused on logic and computing. It was established in 1990 and is published by...

of awards in the fields of bioinformatics and computational biology. ASBMB DeLano Award for Computational Biosciences - "to a scientist for the most accessible...

considered to be secure under the assumption that certain well-studied computational lattice problems cannot be solved efficiently. In 2024 NIST announced...

Computational journalism can be defined as the application of computation to the activities of journalism such as information gathering, organization...

mathematics, since its solution would potentially impact a large number of computationally difficult problems. Discrete mathematics includes: Combinatorics, the...

adversary with unbounded computational power. Some protocols require a setup phase, which may only be secure against a computationally bounded adversary. A...

convention, a recursive computation of the factorial needs to have only the value for zero as a base case, simplifying the computation and avoiding the need...

others to produce the pixel that is ultimately displayed. This is computationally expensive, because the entire rendering process must be repeated for...

In computability theory and computational complexity theory, an undecidable problem is a decision problem for which it is proved to be impossible to construct...

Nanosystems: Molecular machinery, manufacturing and computation is a 1992 non-fiction book by American engineer K. Eric Drexler. It is an introduction...

instructions will need to be executed, ahead of a branch. Speculative computation was a related earlier concept. Eager execution is a form of speculative...

Barak A. (1994), "Fast Exact Multiplication by the Hessian", Neural Computation, 6 (1): 147–160, doi:10.1162/neco.1994.6.1.147, ISSN 0899-7667 Martens...

The North American Computational Linguistics Open competition (NACLO), formerly called the North American Computational Linguistics Olympiad before January...

American theoretical computer scientist whose work concerns randomness in computation. He is a professor of computer science at the University of Texas at...

March 1956, in Groningen) is a Dutch mathematician, cryptographer and computational number theorist. He is a professor emeritus from the École Polytechnique...

numerical methods, typically using computers. A modern discipline, called computational fluid dynamics (CFD), is devoted to this approach. Particle image velocimetry...

theoretical methods such as simple conceptual models, mathematical models, computational simulations, and advanced data analysis. Effective models improve understanding...

In computational complexity theory of computer science, the structural complexity theory or simply structural complexity is the study of complexity classes...

Distant reading is an approach in literary studies that applies computational methods to literary data, usually derived from large digital libraries,...

Computational sustainability is an interdisciplinary research area that applies methods from computer science, operations research and information science...

phylogenies, though the issue of HGT still merits careful algorithmic design. Computational phylogenetics Microbial phylogenetics Molecular clock Molecular evolution...

every branch at every node, such as exhaustive brute force searches, computationally more expensive due to the exponentially increasing number of nodes...

By offloading memory to the environment (as stigmergic traces), and computation to interaction between agents and traces, complex distributed cognition...

practical solutions for large instances where exact algorithms become computationally infeasible. Cycle decompositions can be applied to Markov processes...

routing approach for WMN". 2015 International Conference on Computer and Computational Sciences (ICCCS). pp. 177–182. doi:10.1109/ICCACS.2015.7361345. ISBN 978-1-4799-1818-8...

American theoretical computer scientist known for his work on quantum computation, in particular for devising Shor's algorithm, a quantum algorithm for...

– July 29, 2022) was a Latvian-born American computer scientist and computational theorist who, with Richard E. Stearns, received the 1993 ACM Turing...

hash value for the email (which included a timestamp to prevent pre-computation of useful hashes for later use) that had an arbitrary number of leading...

triangle theorem, and Law of cosines. In conjunction with computational geometry, a computational synthetic geometry has been founded, having close connection...

In mathematics, particularly computational algebra, Berlekamp's algorithm is a well-known method for factoring polynomials over finite fields (also known...