pyacs.lib.glinalg

Linear algebra for Geodesy problems.

corr_to_cov	Convert correlation matrix and standard deviations to covariance matrix.
cov_to_corr	Convert covariance matrix to correlation and standard deviations.
cov_to_invcov	Return the inverse of a covariance matrix.
dot	Matrix/matrix, matrix/vector, or vector/vector multiplication (BLAS).
dot_and_sum	Compute weighted sum of arrays (matrix-by-scalar product then sum).
extract_block_diag	Extract block diagonal from a 2D array.
ls	Solve the least-squares problem min |Gx - d|**2.
lscov	Solve least-squares with data covariance matrix.
lscov_full	Solve least-squares with data covariance and return posterior covariance.
lsw	Solve weighted least-squares with data standard deviations.
lsw_full	Solve weighted least-squares and return solution and posterior covariance.
make_normal_system	Form the normal system for A x = d with data covariance Cd.
make_normal_system_tarantola	Form the Tarantola-style normal system (with prior).
matrix_from_pattern	Build a block matrix from a pattern scaled by a structure matrix.
odot	Scale block rows of G by vector a (element-wise then reshape).
repeat_matrix_in_col	Repeat a matrix vertically n times (stack n copies).
syminv	Invert a symmetric positive-definite matrix.
symmetrize	Form a symmetric matrix from the upper or lower triangle.
sympinv	Pseudo-inverse of a positive semi-definite symmetric matrix.