User:Mengbin Zhu/Books/Matrix

WikipediA Collections

 * Matrix
 * Adjugate matrix
 * Amitsur–Levitzki theorem
 * Antieigenvalue theory
 * Bidiagonalization
 * Binomial inverse theorem
 * Block matrix pseudoinverse
 * Joel Lee Brenner
 * Carleman matrix
 * Cayley–Hamilton theorem
 * Change of basis
 * Commuting matrices
 * Companion matrix
 * Computing the permanent
 * Coppersmith–Winograd algorithm
 * Cracovian
 * Cuthill–McKee algorithm
 * Derivative of the exponential map
 * Determinant
 * Eigendecomposition of a matrix
 * Eigenvalues and eigenvectors
 * Eigenvalues and eigenvectors of the second derivative
 * Freivalds' algorithm
 * Frobenius covariant
 * Frobenius determinant theorem
 * Generalized eigenvector
 * Gershgorin circle theorem
 * Golden–Thompson inequality
 * Hadamard product (matrices)
 * Haynsworth inertia additivity formula
 * Immanant of a matrix
 * Invertible matrix
 * Jacobi's formula
 * Jordan matrix
 * Jordan normal form
 * Khatri-Rao product
 * Kronecker product
 * Kronecker sum of discrete Laplacians
 * Laplace expansion
 * Lie product formula
 * Loewner order
 * Logarithm of a matrix
 * Logarithmic norm
 * Manin matrix
 * Matrix calculus
 * Matrix completion
 * Matrix decomposition
 * Matrix determinant lemma
 * Matrix exponential
 * Matrix function
 * Matrix multiplication
 * Matrix polynomial
 * Matrix ring
 * Matrix unit
 * Minimal polynomial (linear algebra)
 * Minimum degree algorithm
 * Minor (linear algebra)
 * Moore–Penrose pseudoinverse
 * Proofs involving the Moore–Penrose pseudoinverse
 * Mutual coherence (linear algebra)
 * Non-negative matrix factorization
 * Nullity theorem
 * Numerical range
 * Orthogonal Procrustes problem
 * P-matrix
 * Permanent
 * Perron–Frobenius theorem
 * Poincaré separation theorem
 * Polar decomposition
 * Productive matrix
 * Quasideterminant
 * Rouché–Capelli theorem
 * Schur decomposition
 * Schur product theorem
 * Schur–Horn theorem
 * Sherman–Morrison formula
 * Singular value decomposition
 * Sinkhorn's theorem
 * SMAWK algorithm
 * Smith normal form
 * Spark (mathematics)
 * Sparse graph code
 * Specht's theorem
 * Spectral abscissa
 * Spectral theorem
 * Spectrum of a matrix
 * Spread of a matrix
 * Square root of a matrix
 * Sylvester's criterion
 * Sylvester's determinant theorem
 * Sylvester's formula
 * Sylvester's law of inertia
 * Totally positive matrix
 * Trace (linear algebra)
 * Trace diagram
 * Trace inequalities
 * Tracy-Singh product
 * Unipotent
 * Weighing matrix
 * Weyr canonical form
 * Whitehead's lemma
 * Alternant matrix
 * Antisymmetrizer
 * Bareiss algorithm
 * Berezinian
 * Capelli's identity
 * Cauchy matrix
 * Cauchy–Binet formula
 * Circulant matrix
 * Cramer's rule
 * Cross Gramian
 * Determinantal conjecture
 * Dieudonné determinant
 * Discriminant
 * Distance geometry
 * Dodgson condensation
 * Fredholm determinant
 * Functional determinant
 * Gramian matrix
 * Hadamard's inequality
 * Hilbert matrix
 * Jacobian matrix and determinant
 * Leibniz formula for determinants
 * Maillet's determinant
 * Moore matrix
 * Persymmetric matrix
 * Pfaffian
 * Resultant
 * Slater determinant
 * Vandermonde matrix
 * Volume form
 * Wronskian
 * Block LU decomposition
 * Cholesky decomposition
 * Crout matrix decomposition
 * Dynamic mode decomposition
 * Interpolative decomposition
 * Jordan–Chevalley decomposition
 * LU decomposition
 * Principal component analysis
 * QR decomposition
 * Rank factorization
 * Robust principal component analysis
 * RRQR factorization
 * Symbolic Cholesky decomposition
 * Blind signal separation
 * Generalized singular value decomposition
 * Gene H. Golub
 * Ervand Kogbetliantz
 * Non-linear iterative partial least squares
 * Normal mode
 * Schmidt decomposition
 * Singular value
 * Two-dimensional singular value decomposition