* computes the inverse of the specified vertex. * @param vertex: the vertex whose state is to be marginalised * @param spinv: the sparse blo

* compute the symbolic decompostion of the matrix only once. * Since A has the same pattern in all the iterations, we only * compute the fil

return the currently used damping factor

* convert from degree to radian */

how many rows/cols does the block at block-row / block-column r has?

dimension of the estimated state belonging to this node

* Returns whether all the possible values between min and max were * already given. If get() is called when empty() is true, the behaviour * is

* fill the CCS arrays of a matrix, arrays have to be allocated beforehand */

* writes the estimater to an array of double * @returns true on success */

* writes the estimate to an array of double * @returns true on success */

* Returns the timestamp in seconds and microseconds * @param secs seconds * @param usecs microseconds */