aspcore.matrices

Functions for common operations on matrices.

Some examples include constructing a block matrix, ensure positive definiteness, applying a function to individual blocks of a block matrix.

References

Functions

apply_blockwise(mat, func, out_shape, *args)	Applies the same function to each block in the block matrix mat.
block_diag(arrays)	Creates a block diagonal matrix
block_diag_multiply(mat[, block_left, ...])	This function can easily be replaced by apply_blockwise.
block_of_toeplitz(block_of_col[, block_of_row])	Generates a block matrix of toeplitz blocks from a set of columns and rows The values in the last axis for each (m,n) block is turned into a toeplitz matrix.
block_transpose(matrix, block_size[, out])	Transposes each block individually in a block matrix.
broadcast_func(mat, func, *args[, ...])	Applies the same function to each matrix in the array
ensure_hermitian(mat[, overwrite_ok])	Symmetrizes mat if it is not already Hermitian
ensure_pos_def_adhoc(mat[, start_reg, verbose])
ensure_pos_semidef(mat)	Modifies mat to ensure it is positive semidefinite if it is not already.
is_hermitian(mat)	Returns true if mat is hermitian, false otherwise
is_hermitian_hardcoded(mat)	Deprecated, use is_hermitian instead
is_pos_def(mat)	Returns true if mat is positive definite, false otherwise
is_pos_semidef(mat)	Returns true if mat is positive semidefinite, false otherwise
lsq_with_l2_regularization(A, y[, lamb])	Solves a linear least squares problem with L2 regularization
to_length(ar, length[, axis])	Either truncates or pads ar at the end with zeros, so that the length along axis is equal to length.