Title :
Partial Matrix Refactorization
Author :
Chan, Sherman M. ; Brandwajn, Vladimir
Author_Institution :
Systems Control, Inc. 1801 Page Mill Road Palo Alto, CA 94304
Abstract :
Partial refactorization methods update the LDU factors of a matrix to reflect changes In some Its elements. This paper presents two new partial refactorization methods for sparse matrices. Test results Indicate that they are significantly more efficient than existing techniques, and have the potential to speed up a number of important power system problems.
Keywords :
Computer applications; Control systems; Degradation; Equations; Matrix decomposition; Power & Energy Society; Power industry; Power systems; Sparse matrices; System testing;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.1986.4334868
