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Linear algebra basics:
- norm Vector or matrix norm
- inv Inverse of a square matrix
- solve Solve a linear system of equations
- det Determinant of a square matrix
- lstsq Solve linear least-squares problem
- pinv Pseudo-inverse (Moore-Penrose) calculated using a singular
value decomposition
- matrix_power Integer power of a square matrix
Eigenvalues and decompositions:
- eig Eigenvalues and vectors of a square matrix
- eigh Eigenvalues and eigenvectors of a Hermitian matrix
- eigvals Eigenvalues of a square matrix
- eigvalsh Eigenvalues of a Hermitian matrix
- qr QR decomposition of a matrix
- svd Singular value decomposition of a matrix
- cholesky Cholesky decomposition of a matrix
Tensor operations:
- tensorsolve Solve a linear tensor equation
- tensorinv Calculate an inverse of a tensor
Exceptions:
- LinAlgError Indicates a failed linear algebra operation
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Mini Shell