DAFTAR PUSTAKA
Bennett, J.M. 1965. Triangular factors of modified matrices., 7 : 217–221.
Davis, T.A., dan Hager, W. W. 1999 . Modifying a sparse Cholesky factorization. SIAM J. Matrix Anal. Appl., 20 : 606–627.
Davis, T.A., dan Hager, W. W. 2001. Multiple-rank modifications of a sparse Cho-lesky factorization.SIAM J. Matrix Anal. Appl., 22 : 997–1013.
Davis, T.A., dan Hager, W. W. 2003. Modifying a sparse Cholesky factorization. SIAM J. Matrix Anal. Appl., 22 : 997–1013.
Duff, S., dan Reid, J. K. 1986. Direct Method for Sparse Matrices. Clarendon Press. Oxford.
George, A. dan Liu, J. W. H. 1980. An optimal algorithm for symbolic factorization of symmetric matrices.SIAM J. Computing. 9 : 583–593.
GillP.E., Golub. G. H., Murray W dan Saunders M. A 1974. Methods for modifying matrix factorizations. Math. Comp., 28,pp 505-535.
Gilbert J.R dan Peierls T. 1988. Sparse partial pivoting in time proportional to arithmetic operations, SIAM J. Sci.Statist. Comput., 9 pp. 862-874.
Golub, G. H., dan Loan C. F. V. 1989. Matrix Computations. The John Hopkins University Press. Maryland.
Grondelle, J. V., 1999. Symbolic Sparse Cholesky Factorization Using Elimination Trees. Utrecht.
Hager, W. W. 1988. Applied Linear Algebra. Prentice Hall, Inc, Englewood Cliff. New Jersey.
Hager, W. W. 1989. Updating the inverse of a matrix. SIAM Review.31 : 221–239 Rice, John, R., 1981. Matrix Computations and Mathematical Software.
McGraw-Hill Book Company. New York.
Schreiber, R., 1982. A new implementation of sparse Gaussian elimination. ACM Trans. Math. Software. 8 : 256-276.
Wilson, R., 1988 ,An introduction to dynamic data structure. McGraw-Hill. London.