User:Programminglinguist/Books/Useful Matrix Theory

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 * Affine space
 * Affine transformation
 * Basis (linear algebra)
 * Broyden–Fletcher–Goldfarb–Shanno algorithm
 * Cayley–Hamilton theorem
 * Change of basis
 * Cholesky decomposition
 * Conjugate gradient method
 * Conjugate transpose
 * Convex function
 * Convex optimization
 * Determinant
 * Dual space
 * Eigenvalues and eigenvectors
 * Galilean transformation
 * Gradient descent
 * Haynsworth inertia additivity formula
 * Hessenberg matrix
 * Hessian matrix
 * Higher-order singular value decomposition
 * Householder transformation
 * Householder's method
 * Inner product space
 * Jacobian matrix and determinant
 * Lagrange multiplier
 * Least squares
 * Line search
 * Linear least squares (mathematics)
 * Linear map
 * Lipschitz continuity
 * Lorentz transformation
 * LU decomposition
 * Matrix congruence
 * Matrix consimilarity
 * Matrix similarity
 * Minor (linear algebra)
 * Moore–Penrose pseudoinverse
 * Newton's method
 * Newton's method in optimization
 * Nonlinear programming
 * Norm (mathematics)
 * Normed vector space
 * Nullity theorem
 * Orthogonal matrix
 * Orthonormality
 * Polar decomposition
 * Preconditioner
 * QR decomposition
 * Rank–nullity theorem
 * Schur complement
 * Schur decomposition
 * Shear mapping
 * Singular value decomposition
 * Spectral theorem
 * Squeeze mapping
 * Stochastic gradient descent
 * Topological vector space
 * Transformation matrix
 * Tridiagonal matrix
 * Woodbury matrix identity