Computes the eigenvalues and Schur factorization of a general matrix, orders the factorization and computes reciprocal condition numbers.
Computes all eigenvalues and, optionally, eigenvectors of a complex generalized Hermitian positive-definite eigenproblem. If eigenvectors are desired, it uses a divide and conquer method.
Computes the generalized eigenvalues, Schur form, and the left and/or right Schur vectors for a pair of nonsymmetric matrices.
Forms the 1-norm of the complex vector using the true absolute value.
Tests input for
Used by ?stedc. Merges eigenvalues and deflates secular equation. Used when the original matrix is dense.
Solves a 1-by-1 or 2-by-2 linear system of equations of the specified form.
Returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a complex Hermitian matrix.
Sets a scalar multiple of the first column of the product of 2-by-2 or 3-by-3 matrix H and specified shifts.
Applies an elementary reflector to a general rectangular matrix, with loop unrolling when the reflector has order less than or equal to 10.