User:Aniruddha22Paranjpye/Books/Matrix Theory

Matrix Theory

 * Field of values
 * Adjugate matrix
 * Bidiagonalization
 * Binomial inverse theorem
 * Block matrix pseudoinverse
 * Change of basis
 * Commuting matrices
 * Computing the permanent
 * Coppersmith–Winograd algorithm
 * Cracovian
 * Cuthill–McKee algorithm
 * Determinant
 * Eigendecomposition of a matrix
 * Eigenvalues and eigenvectors of the second derivative
 * Freivald's algorithm
 * Frobenius covariant
 * Gershgorin circle theorem
 * Golden–Thompson inequality
 * 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
 * Logarithm of a matrix
 * Logarithmic norm
 * Matrix calculus
 * Matrix exponential
 * Matrix multiplication
 * Matrix decomposition
 * Matrix determinant lemma
 * Matrix function
 * Matrix ring
 * Matrix unit
 * Minimal polynomial (linear algebra)
 * Minimum degree algorithm
 * Minor (linear algebra)
 * Proofs involving the Moore–Penrose pseudoinverse
 * Moore–Penrose pseudoinverse
 * Mutual coherence (linear algebra)
 * Non-negative matrix factorization
 * Nullity theorem
 * Numerical range
 * Orthogonal Procrustes problem
 * P-matrix
 * Permanent
 * Perron–Frobenius theorem
 * Polar decomposition
 * Quasideterminant
 * Schur decomposition
 * Schur–Horn theorem
 * Sherman–Morrison formula
 * Singular value decomposition
 * Sinkhorn's theorem
 * 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
 * Submatrix
 * Sylvester's determinant theorem
 * Sylvester's criterion
 * Sylvester's formula
 * Sylvester's law of inertia
 * Totally positive matrix
 * Trace (linear algebra)
 * Trace diagram
 * Tracy-Singh product
 * Unipotent
 * Von Neumann's trace inequality
 * Weighing matrix
 * Block LU decomposition
 * Cholesky decomposition
 * Crout matrix decomposition
 * Jordan–Chevalley decomposition
 * LU decomposition
 * QR decomposition
 * Rank factorization
 * Symbolic Cholesky decomposition
 * Blind signal separation
 * Eigenvalues and eigenvectors
 * Generalized singular value decomposition
 * Gene H. Golub
 * Kernel (matrix)
 * Ervand Kogbetliantz
 * Non-linear iterative partial least squares
 * Normal mode
 * Principal component analysis
 * Schmidt decomposition
 * Singular value
 * Two-dimensional singular value decomposition
 * Diagonal matrix
 * Frobenius normal form
 * Random matrix
 * Circular ensemble
 * Gaussian matrix ensemble
 * Gaussian unitary ensemble
 * Matrix normal distribution
 * Tracy–Widom distribution
 * Weingarten function
 * Wishart distribution
 * Anti-diagonal matrix
 * Band matrix
 * Bidiagonal matrix
 * Block matrix
 * Generalized permutation matrix
 * Identity matrix
 * Nested dissection
 * Pentadiagonal matrix
 * Permutation matrix
 * Reverse Cuthill-McKee algorithm
 * Shear matrix
 * Shift matrix
 * Single-entry matrix
 * Skyline matrix
 * Sparse matrix
 * Tridiagonal matrix
 * Zero matrix
 * Alternant matrix
 * Antisymmetrizer
 * Bareiss algorithm
 * Berezinian
 * Capelli's identity
 * Cauchy matrix
 * Cauchy–Binet formula
 * Circulant matrix
 * Cramer's rule
 * Dieudonné determinant
 * Discriminant
 * Dodgson condensation
 * Fredholm determinant
 * Functional determinant
 * Gramian matrix
 * Hadamard's inequality
 * Hilbert matrix
 * Jacobian matrix and determinant
 * Leibniz formula for determinants
 * Lewis Carroll identity
 * Moore determinant
 * Persymmetric matrix
 * Pfaffian
 * Resultant
 * Slater determinant
 * Vandermonde matrix
 * Volume form
 * Wronskian