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Functions
cholesky(...): Computes the Cholesky decomposition of a positive semi-definite matrix.
cholesky_inverse(...): Computes the inverse of a symmetric positive-definite matrix.
det(...): Computes the determinant of a square tensor.
eig(...): Computes the eigenvalues and eigenvectors of a square matrix.
eigh(...): Computes the eigenvalues and eigenvectors of a complex Hermitian.
inv(...): Computes the inverse of a square tensor.
jvp(...): Computes a (forward-mode) Jacobian-vector product of fun.
lstsq(...): Return the least-squares solution to a linear matrix equation.
lu_factor(...): Computes the lower-upper decomposition of a square matrix.
matrix_rank(...): Return the matrix rank of one or more matrices using SVD.
norm(...): Matrix or vector norm.
pinv(...): Compute the (Moore-Penrose) pseudoinverse of a matrix.
qr(...): Computes the QR decomposition of a tensor.
solve(...): Solves a linear system of equations given by a x = b.
solve_triangular(...): Solves a linear system of equations given by a x = b.
svd(...): Computes the singular value decomposition of a matrix.