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Linear algebra operations.
Enums§
- Order of the norm
Functions§
- Compute the Cholesky decomposition of a real symmetric positive semi-definite matrix.
- Compute the Cholesky decomposition of a real symmetric positive semi-definite matrix.
- Compute the inverse of a real symmetric positive semi-definite matrix using it’s Cholesky decomposition.
- Compute the inverse of a real symmetric positive semi-definite matrix using it’s Cholesky decomposition.
- Compute the cross product of two arrays along a specified axis.
- Compute the cross product of two arrays along a specified axis.
- Compute the eigenvalues and eigenvectors of a complex Hermitian or real symmetric matrix.
- Compute the eigenvalues and eigenvectors of a complex Hermitian or real symmetric matrix.
- Compute the eigenvalues of a complex Hermitian or real symmetric matrix.
- Compute the eigenvalues of a complex Hermitian or real symmetric matrix.
- Compute the inverse of a square matrix. Returns an error if the input is not valid.
- Compute the inverse of a square matrix. Returns an error if the input is not valid.
- Matrix or vector norm.
- Matrix or vector norm.
- Matrix or vector norm.
- Matrix or vector norm.
- Compute p-norm of an
Array
- Compute p-norm of an
Array
- Compute the (Moore-Penrose) pseudo-inverse of a matrix.
- Compute the (Moore-Penrose) pseudo-inverse of a matrix.
- The QR factorization of the input matrix. Returns an error if the input is not valid.
- The QR factorization of the input matrix. Returns an error if the input is not valid.
- The Singular Value Decomposition (SVD) of the input matrix. Returns an error if the input is not valid.
- The Singular Value Decomposition (SVD) of the input matrix. Returns an error if the input is not valid.
- Compute the inverse of a triangular square matrix.
- Compute the inverse of a triangular square matrix.