User:Mengbin Zhu/Books/Matrix

This user book is a user-generated collection of Wikipedia articles that can be easily saved, rendered electronically, and ordered as a printed book. If you are the creator of this book and need help, see Help:Books (general tips) and WikiProject Wikipedia-Books (questions and assistance).

Edit this book: Book Creator · Wikitext

Order a printed copy from: PediaPress

[ About ] [ Advanced ] [ FAQ ] [ Feedback ] [ Help ] [ WikiProject ] [ Recent Changes ]

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