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searching for Decomposition matrix 11 found (13 total)

alternate case: decomposition matrix

Eigendecomposition of a matrix (5,590 words) [view diff] no match in snippet view article find links to article

In linear algebra, eigendecomposition is the factorization of a matrix into a canonical form, whereby the matrix is represented in terms of its eigenvalues
Tensor decomposition (760 words) [view diff] no match in snippet view article find links to article
decomposition; Higher-order singular value decomposition; Tucker decomposition; matrix product states, and operators or tensor trains; Online Tensor Decompositions
K-SVD (1,308 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; Michael
Invertible matrix (7,170 words) [view diff] case mismatch in snippet view article find links to article
information. Singular matrix Binomial inverse theorem LU decomposition Matrix decomposition Matrix square root Minor (linear algebra) Partial inverse of
Locality-sensitive hashing (4,202 words) [view diff] no match in snippet view article find links to article
Random indexing Rolling hash – Type of hash function Singular value decomposition – Matrix decomposition Sparse distributed memory – Mathematical model of
Model order reduction (3,363 words) [view diff] case mismatch in snippet view article find links to article
into this class but are perhaps less common are: Proper generalized decomposition Matrix interpolation Transfer function interpolation Piecewise tangential
Concept search (3,486 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
Cholesky decomposition (8,349 words) [view diff] exact match in snippet view article find links to article
need for pivoting. The Cholesky algorithm, used to calculate the decomposition matrix L, is a modified version of Gaussian elimination. The recursive algorithm
Jordan normal form (7,479 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 the
Synthetic-aperture radar (11,268 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 image
LU decomposition (8,681 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 with steps, including LU decomposition, LU Decomposition