mlx_rs

Module linalg

Source
Expand description

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.