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Workspace Method covmat_sxAddInverseBlock

Description

Add the inverse of a block in covariance matrix covmat_sx

This functions adds a given matrix as the inverse of a block in the covariance
matrix covmat_sx. The purpose of this function is to allow the user to
to use a precomputed inverse for this block in the covariance matrix, the may
for example by obtained analytically.

This function requires the non-inverse block to already be present in covmat_sx

 Note that for this to work this retrieval quantity must be independent from
other retrieval quantities that do not have an inverse. Otherwise the inverse
will be ignored and recomputed numerically.

For the rest, the same requirements as for covmat_sxAddBlock apply.

Authors: Simon Pfreundschuh

Synopsis

covmat_sxAddInverseBlock(

covmat_sx, jacobian_quantities, block, i, j )

Variables

OUT+IN	covmat_sx	(CovarianceMatrix)	Covariance matrix of a priori distribution This covariance matrix describes the Gaussian a priori distribution for an OEM retrieval.
IN	jacobian_quantities	(ArrayOfRetrievalQuantity)	The retrieval quantities in the Jacobian matrix.
GIN	block	(Matrix, Sparse)	The inverse block to add to the covariance matrix
GIN	i	(Index, Default: -1)	Index of a retrieval quantity. Must satisfy i <= j.
GIN	j	(Index, Default: -1)	Index of a retrieval quantity. Must satisfy i <= j.