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alternate case: decomposition matrix

Eigendecomposition of a matrix
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In linear algebra, eigendecomposition or sometimes spectral decomposition is the factorization of a matrix into a canonical form, whereby the matrix isTensor decomposition (60 words) [view diff] no match in snippet view article find links to article

decomposition; higher-order singular value decomposition; Tucker decomposition; matrix product states, or tensor trains; hierarchical Tucker decomposition;Invertible matrix (5,402 words) [view diff] case mismatch in snippet view article find links to article

transmitted information. Binomial inverse theorem LU decomposition Matrix decomposition Matrix square root Pseudoinverse Singular value decompositionModel order reduction (1,455 words) [view diff] case mismatch in snippet view article find links to article

class but are perhaps less commonly found are: Proper generalized decomposition Matrix interpolation Transfer function interpolation Piecewise tangentialK-SVD (1,563 words) [view diff] case mismatch in snippet view article find links to article

practice.[better source needed] Sparse approximation Singular value decomposition Matrix norm K-means clustering Low-rank approximation Michal Aharon; MichaelLU decomposition (4,386 words) [view diff] case mismatch in snippet view article find links to article

WebApp descriptively solving systems of linear equations with LU Decomposition Matrix Calculator, bluebit.gr LU Decomposition Tool, uni-bonn.de LU DecompositionSystem of linear equations (5,201 words) [view diff] case mismatch in snippet view article find links to article

C, C++) Linear equation over a ring Linear least squares Matrix decomposition Matrix splitting NAG Numerical Library (NAG Library versions of LAPACK solvers)Cholesky decomposition (6,102 words) [view diff] exact match in snippet view article find links to article

less regular manner. The Cholesky algorithm, used to calculate the decomposition matrix L, is a modified version of Gaussian elimination. The recursive algorithmJordan normal form (6,349 words) [view diff] case mismatch in snippet view article find links to article

Canonical form Frobenius normal form Jordan matrix Jordan–Chevalley decomposition Matrix decomposition Modal matrix Weyr canonical form Shilov defines theSynthetic-aperture radar (15,291 words) [view diff] exact match in snippet view article find links to article

parameters, and the other is the Pauli decomposition which is a coherent decomposition matrix. It represents all the polarimetric information in a single SAR imageConcept search (3,438 words) [view diff] case mismatch in snippet view article find links to article

Semi-discrete decomposition Non-negative matrix factorization Singular value decomposition Matrix decomposition techniques are data-driven, which avoids many of the