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searching for Normal matrix 13 found (50 total)

Ordinary least squares (9,135 words) [view diff] exact match in snippet view article find links to article

{\displaystyle \mathbf {X} ^{\operatorname {T} }\mathbf {X} } is known as the normal matrix or Gram matrix and the matrix X T y {\displaystyle \mathbf {X} ^{\operatorname

Rayleigh–Ritz method (5,817 words) [view diff] exact match in snippet view article find links to article

values by applying naively the Rayleigh–Ritz method to the Hermitian normal matrix M ∗ M ∈ C N × N {\displaystyle M^{*}M\in \mathbb {C} ^{N\times N}} or

Wilks's lambda distribution (635 words) [view diff] case mismatch in snippet view article find links to article

Multivariate t Normal-gamma Inverse Matrix-valued: LKJ Matrix beta Matrix normal Matrix t Matrix gamma Inverse Wishart Normal Inverse Normal-inverse Complex

Multivariate Laplace distribution (1,093 words) [view diff] case mismatch in snippet view article find links to article

Multivariate t Normal-gamma Inverse Matrix-valued: LKJ Matrix beta Matrix normal Matrix t Matrix gamma Inverse Wishart Normal Inverse Normal-inverse Complex

Matrix addition (1,208 words) [view diff] exact match in snippet view article find links to article

also denoted by ⊕. It is defined using the Kronecker product ⊗ and normal matrix addition. If A is n-by-n, B is m-by-m and I k {\displaystyle \mathbf

Elliptical distribution (1,751 words) [view diff] case mismatch in snippet view article find links to article

Multivariate t Normal-gamma Inverse Matrix-valued: LKJ Matrix beta Matrix normal Matrix t Matrix gamma Inverse Wishart Normal Inverse Normal-inverse Complex

Alan J. Hoffman (3,693 words) [view diff] exact match in snippet view article find links to article

estimate how distant the eigenvalues of one normal matrix were from the eigenvalues of another normal matrix, in terms of how distant the two matrices were

Dilution of precision (navigation) (2,224 words) [view diff] exact match in snippet view article

matrix, Q, as the covariance matrix resulting from the least-squares normal matrix: Q = ( A T A ) − 1 {\displaystyle Q=\left(A^{\mathsf {T}}A\right)^{-1}}

Bra–ket notation (6,334 words) [view diff] exact match in snippet view article find links to article

previous section) is an N × N matrix. Then the bra ⟨φ|A can be computed by normal matrix multiplication. If the same state vector appears on both bra and ket

Multivariate normal distribution (9,594 words) [view diff] case mismatch in snippet view article find links to article

Multivariate t Normal-gamma Inverse Matrix-valued: LKJ Matrix beta Matrix normal Matrix t Matrix gamma Inverse Wishart Normal Inverse Normal-inverse Complex

Riemann–Hilbert problem (3,712 words) [view diff] exact match in snippet view article find links to article

Kuijlaars, Arno; López, Abey (2015), "A vector equilibrium problem for the normal matrix model, and multiple orthogonal polynomials on a star", Nonlinearity

Holomorphic functional calculus (5,482 words) [view diff] exact match in snippet view article find links to article

For example, the spectral theorem for normal matrices states every normal matrix is unitarily diagonalizable. This leads to a definition of f(T) when

LOBPCG (4,433 words) [view diff] exact match in snippet view article find links to article

implementations, utilize unstable but efficient Cholesky decomposition of the normal matrix, which is performed only on individual matrices W i {\displaystyle W^{i}}