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searching for Decomposition matrix 11 found (13 total)

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 (776 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

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

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

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

Jordan normal form (7,104 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

Cholesky decomposition (8,382 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

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

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

Synthetic-aperture radar (11,288 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