Linear Algebra

inv(a, *[, stream])	Compute the inverse of a square matrix.
tri_inv(a[, upper, stream])	Compute the inverse of a triangular square matrix.
norm(a, /[, ord, axis, keepdims, stream])	Matrix or vector norm.
cholesky(a[, upper, stream])	Compute the Cholesky decomposition of a real symmetric positive semi-definite matrix.
cholesky_inv(L[, upper, stream])	Compute the inverse of a real symmetric positive semi-definite matrix using it's Cholesky decomposition.
cross(a, b[, axis, stream])	Compute the cross product of two arrays along a specified axis.
qr(a, *[, stream])	The QR factorization of the input matrix.
svd(a[, compute_uv, stream])	The Singular Value Decomposition (SVD) of the input matrix.
eigvals(a, *[, stream])	Compute the eigenvalues of a square matrix.
eig(a, *[, stream])	Compute the eigenvalues and eigenvectors of a square matrix.
eigvalsh(a[, UPLO, stream])	Compute the eigenvalues of a complex Hermitian or real symmetric matrix.
eigh(a[, UPLO, stream])	Compute the eigenvalues and eigenvectors of a complex Hermitian or real symmetric matrix.
lu(a, *[, stream])	Compute the LU factorization of the given matrix A.
lu_factor(a, *[, stream])	Computes a compact representation of the LU factorization.
pinv(a, *[, stream])	Compute the (Moore-Penrose) pseudo-inverse of a matrix.
solve(a, b, *[, stream])	Compute the solution to a system of linear equations AX = B.
solve_triangular(a, b, *[, upper, stream])	Computes the solution of a triangular system of linear equations AX = B.