linalg_matrix_power: Computes the 'n'-th power of a square matrix for an integer...

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Computes the n-th power of a square matrix for an integer n.

Description

Supports input of float, double, cfloat and cdouble dtypes. Also supports batches of matrices, and if A is a batch of matrices then the output has the same batch dimensions.

Usage

linalg_matrix_power(A, n)

Arguments

A	(Tensor): tensor of shape ⁠(*, m, m)⁠ where * is zero or more batch dimensions.
n	(int): the exponent.

Details

If n=0, it returns the identity matrix (or batch) of the same shape as A. If n is negative, it returns the inverse of each matrix (if invertible) raised to the power of abs(n).

See Also

linalg_solve() computes A$inverse() %*% B with a numerically stable algorithm.

Other linalg: linalg_cholesky_ex(), linalg_cholesky(), linalg_det(), linalg_eigh(), linalg_eigvalsh(), linalg_eigvals(), linalg_eig(), linalg_householder_product(), linalg_inv_ex(), linalg_inv(), linalg_lstsq(), linalg_matrix_norm(), linalg_matrix_rank(), linalg_multi_dot(), linalg_norm(), linalg_pinv(), linalg_qr(), linalg_slogdet(), linalg_solve(), linalg_svdvals(), linalg_svd(), linalg_tensorinv(), linalg_tensorsolve(), linalg_vector_norm()

Examples

if (torch_is_installed()) {
A <- torch_randn(3, 3)
linalg_matrix_power(A, 0)
}

torch documentation built on June 7, 2023, 6:19 p.m.