Linear Algebra

This module provides NumPy-like linear algebra math functions.

det(A)	Determinant of a 2x2 or 3x3 Tensor.
eigh(A[, eps])	Eigenvalues and -bases of a symmetric Tensor.
eigvalsh(A[, eps])	Eigenvalues of a symmetric Tensor.
expm(A)	Compute the matrix exponential of a symmetric array.
inv(A[, inverse])	Inverse of a 2x2 or 3x3 Tensor.
pinv(A)	Pseudo-Inverse of a 2x2 or 3x3 Tensor.
sqrtm(A)	Compute the matrix square root of a symmetric array.

Detailed API Reference

tensortrax.math.linalg.det(A)

Determinant of a 2x2 or 3x3 Tensor.

tensortrax.math.linalg.eigh(A, eps=np.float64(1.4901161193847656e-08))

Eigenvalues and -bases of a symmetric Tensor.

tensortrax.math.linalg.eigvalsh(A, eps=np.float64(1.4901161193847656e-08))

Eigenvalues of a symmetric Tensor.

tensortrax.math.linalg.expm(A)

Compute the matrix exponential of a symmetric array.

tensortrax.math.linalg.inv(A, inverse=<function inv>)

Inverse of a 2x2 or 3x3 Tensor.

tensortrax.math.linalg.pinv(A)

Pseudo-Inverse of a 2x2 or 3x3 Tensor.

tensortrax.math.linalg.sqrtm(A)

Compute the matrix square root of a symmetric array.