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updated 1 month ago

SVD, Eigen, QR and LU texture transforms by Stanislas Larnier

Stanislas Larnier

Compute the SVD, Eigen, QR and LU texture transforms of an image. (image processing, texture, svd)



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updated 1 year ago

Fast Eigenvalue Computation of Massive 3-by-3 Real Symmetric Matrices by Max W.K. Law

Max W.K. Law

For multiple 3x3 real symmetric matrices, vectorized matrix operations, support GPU computation (3x3 matrix, eigen, eigendecomposition)

eigenvaluefield33( a11, a12, a13, a22, a23, a33)

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updated 1 year ago

Point cloud normal vector by Jered Wells

Jered Wells

NORMND computes the vector normal to points in an N-D point cloud (eigenvector, eigenvalue, normal)


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updated almost 2 years ago

Collocation-based spectral-element toolbox by Nathaniel Jewell

Nathaniel Jewell

Functions and example codes for a collocation spectral-element scheme (Chebyshev or Legendre) (numerical, spectral, pseudospectral)




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updated 2 years ago

Symmetric eigenvalue decomposition and the SVD by Yuji Nakatsukasa

Yuji Nakatsukasa

Eigendecomposition of a symmetric matrix or the singular value decomposition of an arbitrary matrix (mathematics, matrix, eigenvalue)




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updated 3 years ago

Laplacian in 1D, 2D, or 3D by Andrew Knyazev

Andrew Knyazev

Sparse (1-3)D Laplacian on a rectangular grid with exact eigenpairs. (matrix, mathematics, laplacian)


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updated 4 years ago

Significance of Singular Values by Iftekhar Tanveer

Iftekhar Tanveer

This matlab code is intended to demonstrate the interpretation of the singular values (singular valued decom..., svd, meaning)


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updated 5 years ago

Extracting Simulink State Definition (Example 1) by Dan Lluch

Dan Lluch

Explores how Simulink defines its states and what you can do once you know that definition. (simulink, state, order)



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updated 5 years ago

Perron root computation by Aravind Seshadri

Aravind Seshadri

An algorithm that computes the Perron root and Perron vector for an irreducible non-negative matrix. (linear algebra, matrix computation, eigenvalue)


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updated 6 years ago

Principal components analysis (PCA) by Siqing Wu

Siqing Wu

Principal components analysis (PCA) (statistics, probability, principal components ...)

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updated 7 years ago

eigND - n-dimensional eigenvalues by Neil Sims

Neil Sims

Eigenvalues of a real non-symmetric N-dimensional matrix (linear algebra, eig, eigenvalue)


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updated almost 8 years ago

Gershgorin Discs Plot by Mario Berges

Mario Berges

This function plots the Gershgorin Discs for the matrix A passed as an argument. It will also plot t (linear algebra, gershgorin, circles)


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updated 9 years ago

Augmented Householder Eigenvalue Solver by James Baglama

James Baglama

Computes a few eigenvalues and eigenvectors of a nonsymmetric matrix. (linear algebra, arnoldi, block)

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updated 9 years ago

Power iteration to find max/min eigenvalue/vector by Steven Huang

Steven Huang

This is an c-mex function to find the max/min eigenvalue/vector. (linear algebra, power method, eigenvalue)

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updated almost 11 years ago

error_ellipse by AJ Johnson

AJ Johnson

Plot an error ellipse depicting confidence interval given a covariance matrix. (statistics, probability, eep)

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updated almost 11 years ago

Field of values by Wilmer Henao

Wilmer Henao

Plots the field of values of a square complex matrix. (linear algebra, field of values, eigenvalue)


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