DOSEN PROFIL LENGKAP

require the with(linalg): command prior to use. Table 13 presents a few examples of the use of the array and matrix commands. 13 with(linalg): a:=array([J...

0 −1 und B =  2 3 5  . 2 0 −3 1 3 4 Abbildungsverzeichnis Quelle = Linalg parallelogram area.png , Autor = Nicholas Longo (hochgeladen von Benutzer...

delete(H, del_idx, 0) # hat H_i d = np.linalg.matrix_rank(H_hat_idx) # rank of the hat H_i U, Sigma, Vh = np.linalg.svd(H_hat_idx) # SVD Vhn = Vh[d:, :]...

0 −1 und B =  2 3 5  . 2 0 −3 1 3 4 Abbildungsverzeichnis Quelle = Linalg parallelogram area.png , Autor = Nicholas Longo (hochgeladen von Benutzer...

(v1 )· · ·ϕn (vn ), multilinear ist. Abbildungsverzeichnis Quelle = Linalg parallelogram area.png , Autor = Nicholas Longo (= Benutzer Thenub314 auf...

DescriptionLinalg cover.png Cover of the Wikibooks Linear algebra book. Date 13 July 2009 Source Derived from images in work by Jim Hefferon Author Nicholas...

version available|new image name}}. It is recommended to name the SVG file “Linalg bean nullspace.svg”—then the template Vector version available (or Vva)...

DescriptionLinalg iterates.png English: This is a diagram showing the iterates of a map. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelepiped.png English: This a diagram describing the parallelepiped associated to3 vectors. This image is for a linear algebra book...

DescriptionLinalg rotation.png English: This is an diagram describing rotation as a linear map for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg intersection.png English: This is a diagram traffic through an intersection. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg flip.png English: This is a diagram showing how the circle is effected by flipping the coordinates. This image is for a linear algebra...

DescriptionLinalg ws.png English: This is a diagram describing the probability of a team winning the world series as its probability of winning individual...

version available|new image name}}. It is recommended to name the SVG file “Linalg proj R3 R2.svg”—then the template Vector version available (or Vva) does...

DescriptionLinalg dilation.png English: This is an diagram describing dialation as a linear map for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg venn and.png English: This is a venn diagram for the the statement "P and Q". This image is for a linear algebra book written by Jim...

DescriptionLinalg lake champlain.png English: This is a simplified road map of the area around Lake Champlain for a linear algebra book written by Jim...

DescriptionLinalg skew.png English: This is a diagram showing how the circle is effected by a linear transformation. This image is for a linear algebra...

DescriptionLinalg venn not.png English: This is a venn diagram for the negation of a statement. This image is for a linear algebra book written by Jim...

DescriptionLinalg parabolas.png English: This is an diagram a family of parabolas for a linear algebra book written by Jim Hefferon released under GFDL...

DescriptionLinalg parallelogram.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear algebra...

DescriptionLinalg venn equiv.png English: This is a venn diagram for the statement "P is equivalent to Q". This image is for a linear algebra book written...

DescriptionLinalg reflection.png English: This is an diagram describing reflection as a linear map for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg angle bisection.svg English: This is a diagram showing that the sum of two unit vectors bisects the angle between the vectors. This image...

DescriptionLinalg plane.png English: This is a diagram giving an example of how to describe a plane with vectors. This image is for a linear algebra book...

DescriptionLinalg partition.png English: This is a diagram describing the concept of a parition. This image is for a linear algebra book written by Jim...

DescriptionLinalg wind.png English: This is a diagram using showing the vectors involved in a discussion of wind speed. This image is for a linear algebra...

DescriptionLinalg no solutions.png English: This is a diagram a system of equations that have no solutions. This image is for a linear algebra book written...

DescriptionLinalg antipodal.png English: This is a diagram describing antipodal points on the sphere. This image is for a linear algebra book written by...

DescriptionLinalg vector addition.png English: This is a diagram describing vector addition. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg rotary.png English: This is a diagram traffic through an intersection. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg projection sequence.png English: This is a diagram describing a sequence obtained by successive projections. This image is for a linear...

DescriptionLinalg intersection 2.png English: This is a diagram traffic through an intersection. This image is for a linear algebra book written by Jim...

DescriptionLinalg singular system.png English: This is a diagram shows a system of two equations that are close they cannot be resolved in this picture...

DescriptionLinalg resisters in parallel 2.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by...

version available|new image name}}. It is recommended to name the SVG file “Linalg many to one.svg”—then the template Vector version available (or Vva) does...

DescriptionLinalg dimension 24.png English: This is an diagram describing dimension analysis for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelogram 3.png English: This a diagram describing how the parallelogram associated to two vectors changes when one vector is scaled...

DescriptionLinalg vectors 3.png English: This is a diagram giving an example of vectors. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg learn5.png English: This is a diagram describing the probability of a state given an initial probability in a particular markov chain...

DescriptionLinalg triangle inequality.png English: This is a diagram demonstrating the triangle inequality. This image is for a linear algebra book written...

DescriptionLinalg vector subtraction.png English: This is a diagram giving an example of vector subtraction. This image is for a linear algebra book written...

DescriptionLinalg plane with parallelogram.png English: This is a diagram is used in a discussion of how to add vectors in a plane that does not go through...

DescriptionLinalg R3 subspaces.png English: This a diagram showing the relationship between subspaces of R^3. This image is for a linear algebra book written...

DescriptionLinalg desargue.png English: This is a diagram describing Desargue's theorem. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg line.png English: This is a diagram using showing a one dimensional vector space. This image is for a linear algebra book written by...

DescriptionLinalg domain range codomain.png English: This is a diagram used in describing the range, domain and codomain of a function. This image is for...

DescriptionLinalg vectors 1.png English: This is a diagram giving an example of a vector. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg vectors 4.png English: This is a diagram giving an example of vectors. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelogram 2.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear algebra...

DescriptionLinalg pappus.png English: This is a diagram describing a theorem of Pappus. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 5.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelogram doubled 2.png English: This a diagram describing the parallelogram associated to two vectors that has been doubled by a...

DescriptionLinalg venn ifthen.png English: This is a venn diagram for the statement "If P then Q". This image is for a linear algebra book written by Jim...

DescriptionLinalg determinant timing.png English: This a graph about the execution time needed to calculate a determinant of a random matrix. This image...

DescriptionLinalg congruent triangles.png English: This is a diagram showing congruent triangles. This image is for a linear algebra book written by Jim...

DescriptionLinalg balance 1.png This is a diagram of weights in balance. This image is for a linear algebra book written by Jim Hefferon released under...

DescriptionLinalg venn thereexists.png English: This is a venn diagram for the quantifier "there exists". This image is for a linear algebra book written...

version available|new image name}}. It is recommended to name the SVG file “Linalg hom R2 R1 additivity 2.svg”—then the template Vector version available (or...

DescriptionLinalg wheatstone bridge.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg square function arrows.png English: This is a diagram showing that the function x^2 is not linear. This image is for a linear algebra...

DescriptionLinalg projection 4.png English: This is a diagram describing projection onto a line. THis image is for a linear algebra book written by Jim...

DescriptionLinalg partition 2.png English: This is a diagram describing the concept of a partition. This image is for a linear algebra book written by...

DescriptionLinalg circuit 1.png English: This is a diagram currents through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg great circle.png English: This is a diagram describing a great circle on the sphere. This image is for a linear algebra book written...

DescriptionLinalg voting diagram 22.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg reflection ang.png English: This is an diagram describing action of a reflection in terms of polar coordinates for a linear algebra book...

DescriptionLinalg interreducible matrices.png English: This is a diagram showing matrices that are related by reduction. This image is for a linear algebra...

version available|new image name}}. It is recommended to name the SVG file “Linalg hom R2 R1.svg”—then the template Vector version available (or Vva) does...

DescriptionLinalg vectors 2.png English: This is a diagram giving an example of vectors. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg nonsingular system.png English: This is a diagram describes a system of two equations which is not singular. This image is for a linear...

DescriptionLinalg reflection 2.png English: This is an diagram describing reflection as a linear map for a linear algebra book written by Jim Hefferon...

DescriptionLinalg rotary 2.png English: This is a diagram traffic through an intersection. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg venn or.png English: This is a venn diagram for the statement "P or Q". This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelogram 5.png English: This a diagram describing how the parallelogram associated to two vectors changes when one vector is added...

DescriptionLinalg parallelogram area.png English: This a diagram used in explaining why the area parallelogram associated to two vectors is the determinant...

DescriptionLinalg rotate R2.png English: This is a diagram showing that rotation is linear. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg dilation 2.png English: This is an diagram describing dilation as a linear map for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg partition 3.png English: This is a diagram describing the concept of a partition. This image is for a linear algebra book written by...

DescriptionLinalg balance 2.png This is a diagram of weights in balance. This image is for a linear algebra book written by Jim Hefferon released under...

DescriptionLinalg Rn isomorph classes.png English: This is an diagram describing isomorphism classes for a linear algebra book written by Jim Hefferon...

DescriptionLinalg shortest path on surface.png English: This is a diagram showing the shortest path on a surface. This image is for a linear algebra book...

DescriptionLinalg circuit 2.png English: This is a diagram currents through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg inverse for derivatives.png English: This is a diagram describing the relationship between the derivative and the derivative of the inverse...

DescriptionLinalg dilation in x.png English: This is a diagram showing that dilation in x is a linear map. This image is for a linear algebra book written...

DescriptionLinalg projection and orthog.png English: This is a diagram describing a vector as the sum of a projection and a vector orthogonal to its projection...

DescriptionLinalg rotation 2.png English: This is a diagram showing a rotation map acting on a specific vector. THis image is for a linear algebra book...

DescriptionLinalg matinv arrow.png English: This is a commuting arrow diagram for matrix inversion for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg exchange x and y.png English: This is a diagram showing that exchanging the coordinates is a linear map. This image is for a linear algebra...

DescriptionLinalg rank of iterates.png English: This is a graph showing the rank of the iterates of a linear map. This image is for a linear algebra book...

DescriptionLinalg plane with scaled vector.png English: This is a diagram is used in describing how to double a vector in a plane that doesn't go through...

DescriptionLinalg voting diagram 12.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg central projection 4.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg similar triangles.png English: This is a diagram showing similar triangles. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 33.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 38.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelogram 4.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear algebra...

DescriptionLinalg scaled vectors.png English: This is a diagram giving an example of scaled vectors. This image is for a linear algebra book written by...

DescriptionLinalg triangles in perspective.png English: This is a diagram describing triangles that are "in perspective" relative to a point. This image...

DescriptionLinalg voting diagram 24.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg railroad perspective 1.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg railroad perspective 3.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg orth proj R3.png English: This is a diagram describing orthognal projection in R^3. This image is for a linear algebra book written by...

DescriptionLinalg projection 6.png English: This is a diagram describing projection onto a line. This image is for a linear algebra book written by Jim...

DescriptionLinalg resisters in parallel.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim...

DescriptionLinalg matmult arrow.png English: This is a commuting arrow diagram for matrix multiplication for a linear algebra book written by Jim Hefferon...

DescriptionLinalg change basis.png English: This is a diagram for a specific change of basis for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg unique solution.png English: This is a diagram a system of equations that have a unique solution. This image is for a linear algebra...

DescriptionLinalg nilpotent transformation.png English: This is a diagram shows the action of a particular nilpotent transformation. This image is for...

DescriptionLinalg dilation circle.png English: This is a diagram showing how the circle is effected by a dilation in one component. This image is for a...

DescriptionLinalg car problem 1.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg perp vectors 1.png English: This is a diagram showing perpendicular vectors. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg similarity cd 2.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra book...

DescriptionLinalg voting diagram 20.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg rotate person 3.png English: This is an diagram of a person rotating in 3-space for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg rotate person.png English: This is an diagram of a person rotating in 3-space for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg car circuit.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg nested parallelogram 3.png English: This a diagram showing nested parallelograms associated to a pair of vectors, in order to describe...

DescriptionLinalg dimension 22.png English: This is an diagram describing dimension analysis for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg orthog vectors in R2.png English: This is a diagram showing two orthogonal vectors. This image is for a linear algebra book written by...

DescriptionLinalg central projection 1.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg xyperp not yz.png English: This is a diagram showing the orthogonal complement to the xy plane is not the yz plane. This image is for...

DescriptionLinalg isomorph classes.png English: This is an diagram describing isomorphism classes for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg submarine direction.png English: This is a diagram describing the path of a submarine. This image is for a linear algebra book written...

DescriptionLinalg plane with basis.png English: This is a diagram giving an example of vectors in a plane that doesn't go through the origin. This image...

DescriptionLinalg voting diagram 31.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 11.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 4.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 45.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg parallelogram problem 3.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear...

DescriptionLinalg parallelogram orientation 1.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear...

DescriptionLinalg railroad wind.png English: This is a diagram showing wind pushing on a railroad car.. This image is for a linear algebra book written...

DescriptionLinalg resisters in series.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim...

DescriptionLinalg infinitely many solutions.png English: This is a diagram a system of equations that have infinitely many solutions. This image is for...

DescriptionLinalg partition 4.png English: This is a diagram describing the concept of a partition. This image is for a linear algebra book written by...

DescriptionLinalg negate function arrows.png English: This is a diagram showing that the function -x is linear. This image is for a linear algebra book...

DescriptionLinalg change basis arrow.png English: This is a arrow diagram for changing for a change of basis map. This image is for a linear algebra book...

DescriptionLinalg map change basis.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This image...

DescriptionLinalg nonlin function arrows.png English: This is a diagram showing the function x^2+x is not a linear map. This image is for a linear algebra...

DescriptionLinalg dimension 23.png English: This is an diagram describing dimension analysis for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg venn forall.png English: This is a venn diagram for the quantifier "for all". This image is for a linear algebra book written by Jim...

DescriptionLinalg double function arrows.png English: This is a diagram showing that the function 2x is linear. This image is for a linear algebra book...

DescriptionLinalg projection 2.png English: This is a diagram showing a projection map acting on a specific vector. THis image is for a linear algebra...

DescriptionLinalg projection 1.png English: This is a diagram showing a projection map acting on a specific vector. THis image is for a linear algebra...

DescriptionLinalg voting diagram 29.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg composition for derivatives.png English: This is a diagram explaining the composition rules for derivatives in terms of linear maps....

DescriptionLinalg parallelogram basis.png English: This a diagram describing the parallelogram associated to two vectors basis vectors. This image is for...

DescriptionLinalg voting diagram 23.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 42.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg railroad perspective 5.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg row equiv classes.png English: This is a diagram of the equivalence classes of row reduced matrices. This image is for a linear algebra...

DescriptionLinalg voting diagram 26.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 37.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 8.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 9.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg projection onto line.png English: This is a diagram describing projection onto a line. This image is for a linear algebra book written...

DescriptionLinalg projection onto plane.png English: This is a diagram describing projection onto a plane. This image is for a linear algebra book written...

DescriptionLinalg exp function arrows.png English: This is a diagram showing that the exponential function is not linear. This image is for a linear algebra...

DescriptionLinalg voting diagram 34.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg circuit 1 2.png English: This is a diagram currents through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 32.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 35.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg reflection 3.png English: This is a diagram showing perpendicular vectors. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg matrix equivalence classes.png English: This diagram shows the equivalence classes for matrices that are equivalent to a matrix H. This...

DescriptionLinalg projection 5.png English: This is a diagram describing projection onto a line. THis image is for a linear algebra book written by Jim...

DescriptionLinalg projection 3.png English: This is a diagram describing projection onto a line. THis image is for a linear algebra book written by Jim...

DescriptionLinalg nested parallelogram 1.png English: This a diagram showing nested parallelograms associated to a pair of vectors, in order to describe...

DescriptionLinalg basis orientation 1.png English: This a diagram describing which vectors have positive coordinates. This image is for a linear algebra...

DescriptionLinalg line in R3.png English: This is a diagram giving an example of how to describe a line in R^3 using vectors. This image is for a linear...

DescriptionLinalg voting diagram 28.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 19.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 18.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 39.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

version available|new image name}}. It is recommended to name the SVG file “Linalg proj R3 R2 inverse.svg”—then the template Vector version available (or Vva)...

DescriptionLinalg nonlin locally lin.png English: This is a diagram showing that a nonlinear map may behave like a linear map locally. This image is for...

DescriptionLinalg voting diagram 14.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 30.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg central projection 2.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg voting diagram 44.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg line with unit.png English: This is a diagram using showing a one dimensional vector space. This image is for a linear algebra book written...

DescriptionLinalg projection R3 to xz.png English: This is a diagram showing that projection is linear. This image is for a linear algebra book written...

DescriptionLinalg nested parallelogram 4.png English: This a diagram showing nested parallelograms associated to a pair of vectors, in order to describe...

DescriptionLinalg dilation and rotation.png English: This is a diagram showing how the circle is effected by a linear transformation. This image is for...

DescriptionLinalg voting diagram 43.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 3.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 16.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg line of best fit oring.png English: This is a diagram showing NASA o-ring failure data. This image is for a linear algebra book written...

DescriptionLinalg rotate person 2.png English: This is an diagram of a person rotating in 3-space for a linear algebra book written by Jim Hefferon released...

DescriptionLinalg car problem 3.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg 2by2 rank equivalence classes.png English: This diagram shows the three equivalence classes for the rank of 2 by 2 matricies. This image...

DescriptionLinalg euclidean and projective planes.png English: This is a diagram describing the relationship between the Euclidean plane and the projective...

DescriptionLinalg two vectors in R3.png English: This is a diagram showing two vectors in R^3. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg vector addition 2.png English: This is a diagram describing vector addition. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg similarity cd 3.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra book...

DescriptionLinalg wheatstone bridge 2.png English: This is a diagram currents through a circuit. This image is for a linear algebra book written by Jim...

DescriptionLinalg.png Bosanski: Linijska programska struktura Date 17 December 2007 (original upload date) Source Transferred from bs.wikipedia to Commons...

DescriptionLinalg dilation in x 2.png English: This is a diagram showing that dilation in x is a linear map. This image is for a linear algebra book written...

DescriptionLinalg similarity cd 1.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra book...

DescriptionLinalg dilation circle 2.png English: This is a diagram showing how the circle is effected by a dilation in one component. This image is for...

DescriptionLinalg parallelepiped problem 22.png English: This a diagram for a problem relating the area of a triangle with the determinant of a matrix...

DescriptionLinalg rotating cube 2.png English: This is one images out of a series that show a cube rotating. This image is for a linear algebra book written...

DescriptionLinalg resisters in series 2.png English: This is a diagram currents through a circuit. This image is for a linear algebra book written by Jim...

DescriptionLinalg venn xinP.png English: This is a venn diagram for the statement "x in P". This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 40.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg matrix equivalent cd 3.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra...

DescriptionLinalg voting diagram 41.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 15.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg rotating shrinking cube 1.png English: This is one images out of a series that show a cube rotating and shrinking. This image is for...

DescriptionLinalg map change basis R2.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This image...

DescriptionLinalg towers of hanoi 1.png English: This is a diagram describing the Towers of Hanoi game. This image is for a linear algebra book written...

version available|new image name}}. It is recommended to name the SVG file “Linalg proj R3 R2 additivity 3.svg”—then the template Vector version available...

DescriptionLinalg singular and nonsingular systems.png English: This is a diagram gives an example of a singular and nonsingular system of equations. This...

DescriptionLinalg voting diagram 1.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg perp vectors 2.png English: This is a diagram showing perpendicular vectors. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 17.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 2.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg central projection 3.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg railroad perspective 2.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg basis orientation 2.png English: This a diagram describing discussing which vectors would have positive coordinates in a different basis...

DescriptionLinalg voting diagram 10.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg similarity cd 4.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra book...

DescriptionLinalg circuit 2 2.png English: This is a diagram currents through a circuit. This image is for a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 25.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg non orthog basis R2.png English: This is a diagram showing a non-orthogonal basis for R^2. This image is for a linear algebra book written...

DescriptionLinalg rotating shrinking cube 3.png English: This is one images out of a series that show a cube rotating and shrinking. This image is for...

version available|new image name}}. It is recommended to name the SVG file “Linalg hom R2 R1 additivity 1.svg”—then the template Vector version available (or...

DescriptionLinalg railroad wind direction.png English: This is a diagram describing wind direction as a vector. THis image is for a linear algebra book...

DescriptionLinalg geometry of lines problem1 1.png English: This diagram is part of a solution to an exercise for a linear algebra book written by Jim...

DescriptionLinalg intersecting projective lines.png English: This is a diagram describing intersecting lines in the projective plane. This image is for...

version available|new image name}}. It is recommended to name the SVG file “Linalg hom R2 R1 additivity 3.svg”—then the template Vector version available (or...

DescriptionLinalg matrix similarity equiv classes.png English: This is a diagram describing equivalence classes of similar matrices. This image is for...

DescriptionLinalg voting diagram 21.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 6.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 7.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg wheatstone bridge 3.png English: This is a diagram current through a circuit. This image is for a linear algebra book written by Jim...

DescriptionLinalg rotating cube 1.png English: This is one images out of a series that show a cube rotating. This image is for a linear algebra book written...

DescriptionLinalg parallelogram doubled 1.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear...

DescriptionLinalg matrix equivalent cd problem4.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear...

DescriptionLinalg matrix equivalent cd problem10.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear...

DescriptionLinalg parallelogram orientation 2.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear...

DescriptionLinalg line of best fit bills.png English: This is a diagram showing a line of best fit related to the life time of paper US currency. This...

DescriptionLinalg voting diagram 27.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 36.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg voting diagram 13.png English: This is an diagram describing voting paradoxes for a project in a linear algebra book written by Jim Hefferon...

DescriptionLinalg projective plane nonorientablity 4.png English: This is a diagram showing the projective plane is not orientable. This image is for a...

DescriptionLinalg railroad perspective 4.png English: This is a diagram describing the linear algebra involved in perspective. This image is for a linear...

DescriptionLinalg rotating cube 3.png English: This is one images out of a series that show a cube rotating. This image is for a linear algebra book written...

DescriptionLinalg nested parallelogram 2.png English: This a diagram showing nested parallelograms associated to a pair of vectors, in order to describe...

DescriptionLinalg basis orientation 3d 2.png English: This a diagram for a discussion about which vectors have positive coordinates in a different basis...

DescriptionLinalg matrix equivalent cd 2.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra...

DescriptionLinalg nilpotent has string basis.png English: This is a diagram explaining that a nilpotent transformation has a string basis. This image is...

DescriptionLinalg line of best fit running.png English: This is a diagram showing a line of best fit related to running records. This image is for a linear...

DescriptionLinalg geometry of lines problem1 2.png English: This diagram is part of a solution to an exercise for a linear algebra book written by Jim...

DescriptionLinalg nonorthog vectors in R3.png English: This is a diagram showing two nonorthogonal vectors in R^3. This image is for a linear algebra book...

DescriptionLinalg line of best fit coins.png English: This is a diagram showing a line of best fit related to coin flip data. This image is for a linear...

DescriptionLinalg non orthog basis R2 2.png English: This is a diagram describing a non-orthogonal basis for R^2. This image is for a linear algebra book...

DescriptionLinalg lin map depends on coords.png English: This is a diagram showing that a linear map may depend on the coordinates, and not just the norm...

DescriptionLinalg map change basis 2.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This image...

DescriptionLinalg towers of hanoi 2.png English: This is a diagram describing the Towers of Hanoi game. This image is for a linear algebra book written...

DescriptionLinalg geometry of lines problem1 3.png English: This diagram is part of a solution to an exercise for a linear algebra book written by Jim...

DescriptionLinalg map inv change basis.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This image...

DescriptionLinalg projective plane nonorientablity 1.png English: This is a diagram showing the projective plane is not orientable. This image is for a...

DescriptionLinalg basis orientation 3d 1.png English: This a diagram for a discussion about which vectors have positive coordinates. This image is for...

DescriptionLinalg map change basis 3.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This image...

DescriptionLinalg triangle formed by two vectors.png English: This is a diagram showing the triangle formed by two vectors in R^3. This image is for a...

DescriptionLinalg projective plane nonorientablity 3.png English: This is a diagram showing the projective plane is not orientable. This image is for a...

DescriptionLinalg projective plane nonorientablity 2.png English: This is a diagram showing the projective plane is not orientable. This image is for a...

DescriptionLinalg parallelogram problem 9 2.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear...

break V = self.B-np.dot(self.A,X) VM2 = np.linalg.matrix_power(np.diagflat(V),-2) hx = np.dot(np.linalg.matrix_power(np.dot(np.dot(self.AT,VM2),self...

DescriptionLinalg parallelogram problem 9 1.png English: This a diagram describing the parallelogram associated to two vectors. This image is for a linear...

version available|new image name}}. It is recommended to name the SVG file “Linalg proj R3 R2 additivity 2.svg”—then the template Vector version available...

DescriptionLinalg matrix equivalent cd 1.png English: This is a commutative diagram relating to similarity of matrices. This image is for a linear algebra...

DescriptionLinalg orth proj R3 closest.png English: This is a diagram showing orthogonal projection gives the closes vector in R^3. This image is for a...

version available|new image name}}. It is recommended to name the SVG file “Linalg proj R3 R2 additivity 1.svg”—then the template Vector version available...

DescriptionLinalg lin map depends on coords 2.png English: This is a diagram showing that a linear map may depend on the coordinates, and not just the...

DescriptionLinalg line of best fit coin fairness.png English: This is a diagram showing coin flip data. This image is for a linear algebra book written...

DescriptionLinalg map change basis R2 3.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This...

DescriptionLinalg reduced echelon form equiv classes.png English: This is a diagram of the equivalence classes of reduced echelon form matrices. This image...

DescriptionLinalg map change basis R2 2.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This...

DescriptionLinalg projective plane perspective 1.png English: This is a diagram describing the linear algebra involved in perspective. This image is for...

DescriptionLinalg pythag line slope k.png English: This is an diagram applying Pythagoras's theorem to a line with slope k for a linear algebra book written...

DescriptionLinalg matrix similarity equiv classes 2.png English: This is a diagram describing equivalence classes of similar matrices. This image is for...

DescriptionLinalg projection onto plane 2.png English: This is a diagram describing projection onto a plane. This image is for a linear algebra book written...

DescriptionLinalg line of best fit womens mile.png English: This is a diagram showing running record data. This image is for a linear algebra book written...

DescriptionLinalg rotating shrinking cube 2.png English: This is one images out of a series that show a cube rotating and shrinking. This image is for...

DescriptionLinalg line of best fit planets 2.png English: This is a diagram showing planet distance data. This image is for a linear algebra book written...

DescriptionLinalg line of best fit planets 3.png English: This is a diagram showing planet distance data. This image is for a linear algebra book written...

DescriptionLinalg line of best fit planets 1.png English: This is a diagram showing planet distance data. This image is for a linear algebra book written...

DescriptionLinalg line of best fit mens 1500.png English: This is a diagram showing running record data. This image is for a linear algebra book written...

DescriptionLinalg prob III 2 2 7 inverses.png English: This is an diagram of inverses of linear maps for a solution to a problem in a linear algebra book...

DescriptionLinalg line of best fit mens mile.png English: This is a diagram showing running record data. This image is for a linear algebra book written...

DescriptionLinalg lin map depends on coords 3.png English: This is a diagram showing that a linear map may depend on the coordinates, and not just the...

DescriptionLinalg line of best fit coins 2.png English: This is a diagram showing a line of best fit related to coin flip data. This image is for a linear...

DescriptionLinalg proj hom R3 R2 many to one.png English: This is an diagram describing the non-injectivity of the homomorphism (x,y,z) maps to (x,y) for...

DescriptionLinalg line of best fit men and womens mile.png English: This is a diagram showing running record data. This image is for a linear algebra book...

DescriptionLinalg line of best fit sat tv.png English: This is a diagram showing data relating sat scores and hours spent watching TV. This image is for...

DescriptionLinalg reduced echelon form equiv classes 2.png English: This is a diagram of the equivalence classes of reduced echelon form matrices. This...

np.linalg.solve(A_prime, A) for i in range(len(T)): if i==0: for j in range(len(X)): U[i][j] = exact(T[i], X[j]) b[j] = U[i][j] else: b = np.linalg.solve(A...

DescriptionLinalg map 2 basis V 1 basis W.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This...

0.5*(T[i]**(2*H) + T[j]**(2*H) - abs(T[j]-T[i])**(2*H)) eigens, P = np.linalg.eig(Gamma) Lambda = [[0.0 for _ in T] for _ in T] for i in range(len(Lambda)):...

calculations are interesting, but not absolutely necessary (eVal,eVec) = np.linalg.eig(W); # find eigenvalues and eigenvectors # find magnitude of eigenvalues...

calculation end time ################################### def force(x): r = np.linalg.norm(x) return -4.*np.pi**2*x/r**3 def solve(method, param): ts, xs, vs...

DescriptionLinalg map 1 basis V 2 basis W.png English: This is a arrow diagram describing how a change of basis effects the matrix of a linear map. This...

0.5*(T[i]**(2*H) + T[j]**(2*H) - abs(T[j]-T[i])**(2*H)) eigens, P = np.linalg.eig(Gamma) Lambda = [[0.0 for _ in T] for _ in T] for i in range(len(Lambda)):...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

0.5*(T[i]**(2*H) + T[j]**(2*H) - abs(T[j]-T[i])**(2*H)) eigens, P = np.linalg.eig(Gamma) Lambda = [[0.0 for _ in T] for _ in T] for i in range(len(Lambda)):...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

random.normal(loc=0, scale=1.0, size=b))).T for c in range(b): mag = np.linalg.norm(xyz[c]) xyz[c] *= np.sqrt(mag) / mag ofs = 50 * np.random.rand(3) for...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

0.5*(T[i]**(2*H) + T[j]**(2*H) - abs(T[j]-T[i])**(2*H)) eigens, P = np.linalg.eig(Gamma) Lambda = [[0.0 for _ in T] for _ in T] for i in range(len(Lambda)):...

0.5*(T[i]**(2*H) + T[j]**(2*H) - abs(T[j]-T[i])**(2*H)) eigens, P = np.linalg.eig(Gamma) Lambda = [[0.0 for _ in T] for _ in T] for i in range(len(Lambda)):...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

0.5*(T[i]**(2*H) + T[j]**(2*H) - abs(T[j]-T[i])**(2*H)) eigens, P = np.linalg.eig(Gamma) Lambda = [[0.0 for _ in T] for _ in T] for i in range(len(Lambda)):...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

enumerate(villages_coords): if i != j: pop_j = new_population[j] dist = np.linalg.norm([x2 - x1, y2 - y1]) mig = migration(pop_i, pop_j, dist, r_i) new_population[i]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

zeros((N)) for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c=numpy.linalg.solve(A, b) xr=numpy.asarray(x) yr=numpy.sum([c[i]*xr**i for i in range(len(c))]...

- 1 rt = 1 - rt*rt r[:,t] = 0.07 * rt * rt for c in range(b): mag = np.linalg.norm(rnd[c]) r[c,t] *= 0.2 + 0.8 * mag # modulate thickness rnd[c] = (0...

range(len(X)): U[i][j] = exact(T[i], X[j]) b[j] = U[i][j] else: b = np.linalg.lstsq(A, b)[0] b[0], b[-1] = 0.0, 0.0 for j in range(len(X)): U[i][j] =...

<stdlib.h> #include <vector> #include <gsl/gsl_matrix.h> #include <gsl/gsl_linalg.h> #include <gsl/gsl_eigen.h> #include "rand.h" static inline unsigned char...

array([x**i for i in range(nPoly)]) A = phi @ phi.T b = phi @ y c = numpy.linalg.solve(A, b) yPoly = c @ phi residuen = [] for i in range(len(x)): residuen+=[[x[i]...

[1.,2.,3.,4.], [6., 5., 7., 10.] A = vstack([x, ones(len(x))]).T b2,b1 = linalg.lstsq(A,y)[0] x2 = arange(0,5,0.1) y2 = lambda xx: b1+b2*xx fig = figure(figsize=(3...

normal(size=n)*np.sqrt(20) ## Get the coefficient estimates. u,s,vt = np.linalg.svd(X,0) v = np.transpose(vt) bhat = np.dot(v, np.dot(np.transpose(u), Y)/s)...

noise=0) y_unknown = numpy.dot(Cuk, numpy.dot(numpy.linalg.inv(Ckk), y_known)) CkkInv = numpy.linalg.inv(Ckk) sigma_unknown = numpy.sqrt(sigmaPrior * sigmaPrior...

]) doc.draw_magnets(Bfield) B0 = sc.linalg.norm(Bfield.F([0, 0])) doc.draw_scalar_field(func=lambda xy: sc.linalg.norm(Bfield.F(xy)), vmin=0., vmax=B0...

normal(size=n)*np.sqrt(20) ## Get the coefficient estimates. u,s,vt = np.linalg.svd(X,0) v = np.transpose(vt) bhat = np.dot(v, np.dot(np.transpose(u), Y)/s)...

noise=0) y_unknown = numpy.dot(Cuk, numpy.dot(numpy.linalg.inv(Ckk), y_known)) CkkInv = numpy.linalg.inv(Ckk) sigma_unknown = numpy.sqrt(sigmaPrior * sigmaPrior...

noise=0) y_unknown = numpy.dot(Cuk, numpy.dot(numpy.linalg.inv(Ckk), y_known)) CkkInv = numpy.linalg.inv(Ckk) sigma_unknown = numpy.sqrt(sigmaPrior * sigmaPrior...

noise=0) y_unknown = numpy.dot(Cuk, numpy.dot(numpy.linalg.inv(Ckk), y_known)) CkkInv = numpy.linalg.inv(Ckk) sigma_unknown = numpy.sqrt(sigmaPrior * sigmaPrior...

Mat = np.array([(0*Xr+1), Xr, Xr**2]).T V = np.matmul(Mat.T, Yr) V = np.linalg.solve(np.matmul(Mat.T, Mat), V) pe = V[0]; qe = V[1]; re = V[2]; fig, ax...

= np.linalg.matrix_power(A, k) norm_1_inf = np.linalg.norm(A_k, ord=1)**(1/k) norm_F = np.linalg.norm(A_k, ord='fro')**(1/k) norm_2 = np.linalg.norm(A_k...

noise=0) y_unknown = numpy.dot(Cuk, numpy.dot(numpy.linalg.inv(Ckk), y_known)) CkkInv = numpy.linalg.inv(Ckk) sigma_unknown = numpy.sqrt(sigmaPrior * sigmaPrior...

Field({'coils':[[0, 0, 0, 0.49, 0.98, 1]]}) B0 = 1. / (2. * 0.98) Babs = lambda xy: sc.linalg.norm(field.F(xy)) doc.draw_scalar_field(func=Babs, vmin=0, vmax=B0) n =...

noise=0) y_unknown = numpy.dot(Cuk, numpy.dot(numpy.linalg.inv(Ckk), y_known)) CkkInv = numpy.linalg.inv(Ckk) sigma_unknown = numpy.sqrt(sigmaPrior * sigmaPrior...

--- def fit_r(x, logy): A = np.vstack([x, np.ones(len(x))]).T r, c = np.linalg.lstsq(A, logy, rcond=None)[0] return r r_growth = fit_r(years_growth, logy_growth)...

Cuu = covMat(x_unknown, x_unknown, covFunc, noise=0.00) CkkInv = numpy.linalg.inv(Ckk) Cuk = covMat(x_unknown, x_known, covFunc, noise=0.0) m = 0 #numpy...

normal(size=n)*np.sqrt(20) ## Отримати оцінки коефіцієнтів. u,s,vt = np.linalg.svd(X,0) v = np.transpose(vt) bhat = np.dot(v, np.dot(np.transpose(u), Y)/s)...

normal(size=n)*np.sqrt(20) ## Отримати оцінки коефіцієнтів. u,s,vt = np.linalg.svd(X,0) v = np.transpose(vt) bhat = np.dot(v, np.dot(np.transpose(u), Y)/s)...

def regfit(Y, D): """Regress Y on D using least squares.""" U,S,Vt = np.linalg.svd(D,0) V = np.transpose(Vt) return np.dot(U, np.dot(np.transpose(U), Y))...

Cuk[i*N:(i+1)*N,:] = covMat(xOut, xIn, covOut, noise=0) CkkInv = numpy.linalg.inv(Ckk) y = Cuk.dot(CkkInv.dot(yIn)) sigmaSplit = (Cuu - Cuk.dot(CkkInv...

Cuu = covMat(x_unknown, x_unknown, covFunc, noise=0.00) CkkInv = numpy.linalg.inv(Ckk) Cuk = covMat(x_unknown, x_known, covFunc, noise=0.0) m = 0 #numpy...

field = Field([['wire', {'x':0, 'y':0, 'I':1}]]) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs((0.15, 0)) doc.draw_scalar_field(func=Babs,...

nSteps # P = sigmaPrior**2 * numpy.identity(nPoly) P = sigmaPrior**2 * numpy.linalg.inv(components @ components.T) # Constant variance prior model # Start Kalman...

Cuk[i*N:(i+1)*N,:] = covMat(xOut, xIn, covOut, noise=0) CkkInv = numpy.linalg.inv(Ckk) y = Cuk.dot(CkkInv.dot(yIn)) sigmaSplit = (Cuu - Cuk.dot(CkkInv...

field = Field([['wire', {'x':0, 'y':0, 'I':-1}]]) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs((0.15, 0)) doc.draw_scalar_field(func=Babs,...

* (A^H * R^(-1) * A)^(-1) * g """ w = (np.linalg.inv(R) @ A_i @ np.linalg.inv( np.conj(A_i).T @ np.linalg.inv(R) @ A_i ) @ g).T return w def calc_power(w...

Cuk[i*N:(i+1)*N,:] = covMat(xOut, xIn, covOut, noise=0) CkkInv = numpy.linalg.inv(Ckk) y = Cuk.dot(CkkInv.dot(yIn)) sigmaSplit = (Cuu - Cuk.dot(CkkInv...

= cov numpy.fill_diagonal(Cuu,numpy.diag(Cuu)+0.000001) CkkInv = numpy.linalg.inv(Ckk) Cuk = cov[:,mask] yPred = m + numpy.dot(numpy.dot(Cuk,CkkInv),...

Propagate if i > 0: x = F @ x P = F @ P @ F.T # Estimate K = P @ H.T @ numpy.linalg.inv(H @ P @ H.T + sigmaNoise**2) x = x + K @ (y[i] - H @ x) P = (numpy.identity(nPoly)...

= cov numpy.fill_diagonal(Cuu,numpy.diag(Cuu)+0.000001) CkkInv = numpy.linalg.inv(Ckk) Cuk = cov[:,mask] yPred = m + numpy.dot(numpy.dot(Cuk,CkkInv),...

{'x0':x0, 'y0':y0, 'x1':x1, 'y1':y1, 'I':1}]]) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs((x1, y1+0.06)) B1 = Babs((4, 3)) doc...

5)/nw), 'I':2 * (i % 2) - 1}]) field = Field(wires) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs(((r-0.15)*cos(pi/4), (r-0.15)*sin(pi/4))) doc...

5, 'y':0, 'I':-1}] ]) doc.draw_currents(field) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs((1.65, 0)) doc.draw_scalar_field(func=Babs,...

np.random.randn(Nmatr, n, m) M = np.einsum('ijk,ilk->ijl', X, X) E = np.linalg.eigvals(M.reshape(Nmatr, n, n)).flatten() elif beta == 2: # Wishart Unitary...

0, 1], [0.2, 8, 0.2, 0.2], [1, 1, 2, 1], [-1, -1, -1, -11]]) vals = np.linalg.eigvals(A) fig = plt.figure(figsize=(6, 4)) for cont, val in enumerate(vals):...

array([c[2] for c in charges]) def potential(xy): return sc.dot(q_array, 1. / sc.linalg.norm(xy - p_array, axis=1)) from matplotlib import colors # colormap from...

sin(2*pi*i/nw), 'I':2 * (i % 2) - 1}]) field = Field(wires) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs((r - 0.15, 0)) doc.draw_scalar_field(func=Babs...

= cov numpy.fill_diagonal(Cuu,numpy.diag(Cuu)+0.000001) CkkInv = numpy.linalg.inv(Ckk) Cuk = cov[:,mask] yPred = m + numpy.dot(numpy.dot(Cuk,CkkInv),...

sin(2*pi*i/nw), 'I':2 * (i % 2) - 1}]) field = Field(wires) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs((r - 0.15, 0)) doc.draw_scalar_field(func=Babs...

= cov numpy.fill_diagonal(Cuu,numpy.diag(Cuu)+0.000001) CkkInv = numpy.linalg.inv(Ckk) Cuk = cov[:,mask] yPred = m + numpy.dot(numpy.dot(Cuk,CkkInv),...

for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c = numpy.linalg.solve(A, b) #print numpy.std(numpy.asarray(y)-numpy.sum([c[i]*numpy.asarray(x)**i...

5)/nw), 'I':2 * (i % 2) - 1}]) field = Field(wires) def Babs(xy): return sc.linalg.norm(field.F(xy)) B0 = Babs(((r-0.15)*cos(pi/4), (r-0.15)*sin(pi/4))) doc...

for i in range(N): b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y)) c = numpy.linalg.solve(A, b) #print numpy.std(numpy.asarray(y)-numpy.sum([c[i]*numpy.asarray(x)**i...

phi @ y c = numpy.linalg.solve(A, b) yPoly = c @ phi phiHist = phi[:,:i1] A = phiHist @ phiHist.T b = phiHist @ y[:i1] c = numpy.linalg.solve(A, b) yPolyHist...

phi @ y c = numpy.linalg.solve(A, b) yPoly = c @ phi phiHist = phi[:,:i1] A = phiHist @ phiHist.T b = phiHist @ y[:i1] c = numpy.linalg.solve(A, b) yPolyHist...

V(p) for rods in rods_extra]) b.append(-field1.V(p)) charge_factors = sc.linalg.solve(M, b) print(charge_factors) for iextra in range(nextra): for rod in...

InfoField import numpy as np import matplotlib.pyplot as plt from scipy.linalg import toeplitz def convmtx(h,n): return toeplitz(np.hstack([h, np.zeros(n-1)])...

V(p) for rods in rods_extra]) b.append(-field1.V(p)) charge_factors = sc.linalg.solve(M, b) print(charge_factors) for iextra in range(nextra): for rod in...

zeros_like(X) for i in range(ngrid): for j in range(ngrid): r = XYZ[:,i,j,0] d = np.linalg.norm(r) V[i,j] = 0.5 * r.dot(Q).dot(r) / (4. * np.pi * d**5) V = np.clip(V...

inverse self.M = np.vstack((self.red, self.green, self.blue)).T self.MI = np.linalg.inv(self.M) # White scaling array self.wscale = self.MI.dot(self.white)...

n*n).T]).T nBasisProAchse = 3 A = base(x0, x1, nBasisProAchse) c = numpy.linalg.inv(A.T @ A) @ A.T @ y yModell = A @ c x0neu, x1neu = numpy.meshgrid(numpy...

column_stack((Tn, -Tn1)) b = Pn1 - Pn det = np.linalg.det(A) if abs(det) < eps: continue s_u = np.linalg.solve(A, b) s = s_u[0] I = Pn + s * Tn triangles...

as np import matplotlib.pyplot as plt from tqdm import trange from scipy.linalg import eigh_tridiagonal def simulate_goe(N, num_matrices): # Generate num_matrices...

"""Побудувати регресію Y на D із застосуванням найменших квадратів.""" U,S,Vt = np.linalg.svd(D,0) V = np.transpose(Vt) return np.dot(U, np.dot(np.transpose(U), Y))...

array([c[2] for c in charges]) def potential(xy): return sc.dot(q_array, 1. / sc.linalg.norm(xy - p_array, axis=1)) from matplotlib import colors # colormap from...

for i in range(N): b[i] = sum(xi**(i)*yi for xi,yi in zip(x,y)) c = numpy.linalg.solve(A, b) xneu = numpy.sort(numpy.linspace(17, 74.5, num=50).tolist()...

np.zeros(orbit_res) for i, theta in enumerate(thetas): invmatrix = scipy.linalg.inv(np.array([[I1 * np.cos(theta)**2 + I2 * np.sin(theta)**2 , I3], [(I1...

Cuu = covMat(x_unknown, x_unknown, covFunc, noise=0.00) CkkInv = numpy.linalg.inv(Ckk) Cuk = covMat(x_unknown, x_known, covFunc, noise=0.0) m = 0 #numpy...

subplots(1,1, figsize=(10,6)) for m in range(l+1): ax.plot(x, y[m] / np.linalg.norm(y[m]), label=r'$l=%d, &#124;m&#124;=%d$' % (l, m)) ax.grid(True) ax...

import matplotlib.pyplot as plt from math import isclose from numpy import linalg as LA import matplotlib.cm as cm def plot_circle(v_1, v_2, ax, **kwargs):...

'condition_func':lambda xy: fabs(xy[0]) < r0}) def Babs(xy): return sc.linalg.norm(Bfield.F(xy)) B0 = Babs([r1 - 0.01, h + 0.02]) doc.draw_scalar_field(func=Babs...

array([c[2] for c in charges]) def potential(xy): return sc.dot(q_array, 1. / sc.linalg.norm(xy - p_array, axis=1)) from matplotlib import colors # colormap from...

array([c[2] for c in charges]) def potential(xy): return sc.dot(q_array, 1. / sc.linalg.norm(xy - p_array, axis=1)) from matplotlib import colors # colormap from...

Cuk[i*N:(i+1)*N,:] = covMat(xOut, xIn, covOut, noise=0) CkkInv = numpy.linalg.inv(Ckk) y = Cuk.dot(CkkInv.dot(yIn)) sigmaSplit = (Cuu - Cuk.dot(CkkInv...

sphere m: magnetic moment ''' r = np.array(xy) - np.array(center) rabs = np.linalg.norm(r) mvec = m * np.array([-sin(phi), cos(phi)]) if rabs >= R: B = (3...

charge b = sc.concatenate((sc.zeros(Nt), [1.])) charge_densities,*_ = sc.linalg.lstsq(M, b) print('charge densities', charge_densities) field = Field(Efield(points...

array([c[2] for c in charges]) def potential(xy): return sc.dot(q_array, 1. / sc.linalg.norm(xy - p_array, axis=1)) from matplotlib import colors # colormap from...

sphere m: magnetic moment ''' r = np.array(xy) - np.array(center) rabs = np.linalg.norm(r) mvec = m * np.array([-sin(phi), cos(phi)]) if rabs >= R: B = (3...

Cuu = covMat(x_unknown, x_unknown, covFunc, noise=0.00) CkkInv = numpy.linalg.inv(Ckk) Cuk = covMat(x_unknown, x_known, covFunc, noise=0) m = numpy.mean(y_known)...

edge_order=2) # tangent (Euclidean) T = np.vstack((dx, dy)).T T_norm = np.linalg.norm(T, axis=1, keepdims=True) T_norm[T_norm < eps] = 1.0 T_unit = T / T_norm...

dot(A,S) + W """ Rxx """ R = np.dot(X,np.matrix(X).H) U, Sigma, Vh = np.linalg.svd(X, full_matrices=True) U_0 = U[:,d:] # noise sub-space thetas = np.arange(-90...

charges_raw] for si in range(len(spheres))] Q0, Q1 = 1., -1 charge_factors = sc.linalg.solve(matrixQ, [Q0, Q1]) for il in range(len(charges_raw)): for ic in...

edge_order=2) # tangent (Euclidean) T = np.vstack((dx, dy)).T T_norm = np.linalg.norm(T, axis=1, keepdims=True) T_norm[T_norm < eps] = 1.0 T_unit = T / T_norm...

k % A.shape[0] ai = A[i, :] bi = b[i] x = x + (bi - np.dot(ai, x)) / np.linalg.norm(ai)**2 * ai history.append(x) return np.array(history) # Construct...

charges_raw] for si in range(len(spheres))] U0, U1 = 1., -1 charge_factors = sc.linalg.solve(matrixU, [U0, U1]) for il in range(len(charges_raw)): for ic in...

1 to 32. import numpy as np import matplotlib.pyplot as plt from scipy.linalg import eigvalsh_tridiagonal # SciPy ≥ 1.15.3 # ------------------------...

curves). import numpy as np import matplotlib.pyplot as plt from scipy.linalg import eigvalsh_tridiagonal # SciPy ≥ 1.15.3 from numpy.polynomial.hermite_e...

little to avoid points on end-facet where the y-field vanishes return sc.linalg.norm(field.F(xy + np.array([0., 1e-5]))) B0 = Babs([x0+R, y0+h+0.05]) doc...

gamma_dot(ti) Vj = gamma_dot(tj) M = np.column_stack((Vi, -Vj)) s = np.linalg.solve(M, Pj - Pi) return Pi + s[0] * Vi def tangent_segment(t, s_min=-1...

Matplotlib. Source code InfoField import numpy as np from numpy import linalg as LA import warnings warnings.filterwarnings('ignore') import matplotlib...

-influence * np.sqrt(grad_x**2 + grad_y**2) # Normalisoidaan tulos norm = np.linalg.norm(adjusted_wind[:2]) # normalisoidaan vain x- ja y-komponentit if norm ...

P_minus = np.array(curve_func(t_p - dt)) T = P_plus - P_minus T_norm = np.linalg.norm(T) T_unit = T / T_norm Acc = (P_plus - 2*P + P_minus) / (dt**2) N =...

np.zeros(m + n) row[i] = 1.0 # u_i row[m + j] = 1.0 # v_j cost_ij = np.linalg.norm(mu_pts[i] - nu_pts[j]) rows.append(row) rhs.append(cost_ij) A_ub =...

P_minus = np.array(curve_func(t_p - dt)) T = P_plus - P_minus T_norm = np.linalg.norm(T) T_unit = T / T_norm Acc = (P_plus - 2*P + P_minus) / (dt**2) N =...

log_power_spectrum Solve the weighted least squares problem x, residuals, rank, s = np.linalg.lstsq(A * np.sqrt(weights[:, np.newaxis]), b * np.sqrt(weights), rcond=None)...

Cuu = covMat(x_unknown, x_unknown, covFunc, noise=0.00) CkkInv = numpy.linalg.inv(Ckk) Cuk = covMat(x_unknown, x_known, covFunc, noise=0) m = numpy.mean(y_known)...

in range(nPoly)]) # A = phi @ phi.T # b = phi @ Temperature # c = numpy.linalg.solve(A, b) # yPoly = c @ phi tRef0, tRef1 = 1880, 1920 TMargin = 0.18 CO2Min...

for planet in [Mercury, Venus, Earth, Mars, Jupiter]] planetdistance=np.linalg.norm([planetx, planety], axis=0) planetpoints=[ax[0].scatter(planet.at(time2)...