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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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CoNcus, P., GOLUB, G. H., AND O'LEARY, D.P. A generalized conjugate gradient method for the numerical solution of elliptic partial differential equations. In Sparse Matrix Computation, J. R. Bunch and D. J. Rose, Eds., Academic Press, New York, 1976.
|
| |
2
|
DEMBO, R. S., ANn STEIHAUC~, T. Truncated-Newton algorithms for large-scale unconstrained optimization. Math. Program. 26, (1983), 190-212.
|
| |
3
|
DENNm, JR., J. E., ANn MoR~, J.J. Quasi-Newton methods, motivation and theory. SIAM Rev. 19 (1977), 46-89.
|
| |
4
|
DENNm, JR., J. E., ANn SCSNABEL, R.B. Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Prentice-Hall, Englewood Cliffs, NJ, (1983), 116;-129.
|
| |
5
|
DEUFLHARD, P. Global inexact Newton methods for very large scale nonlinear problems. In Proceedings of the Copper Mountain Conference on Iterative Methods (Copper Mountain, Colorado, Apr. 1-5, 1990).
|
| |
6
|
EISENSTAT, S. C., GURSKY, M. C., SC~ULTZ, M. H., AND SHERMAN, A.H. Yale sparse matrix package, I. The symmetric codes. Int. J. Numer. Meth. Eng. 18 (1982), 1145-1151.
|
| |
7
|
EISENSTAT, S. C., SHULTZ, M. H., AND SHERMAN, A.H. Efficient implementation of sparse symmetric gaussian elimination. In Advances in Computer Methods for Partial Differential Equations, R. Vichnevetsky, Ed., AICA, New Brunswick, NJ, 1975, pp. 33-39.
|
| |
8
|
EISENSTAT, S. C., SHULTZ, M. H., AND SHERMAN, A. H. Application of sparse matrix methods to partial differential equations. In Advances ~n Computer Methods for Parttal Differenttal Equations, R. Vichnevetsky, Ed., AICA, New Brunswick, NJ, 1975, pp. 40-45.
|
| |
9
|
EISENSTAT, S. C., SCHULTZ, M. H., AND SHERMAN, A.H. Algorithms and data structures for sparse symmetric gausslan ehmination SIAM J. Sc~ Stat. Comput. 2 (1981), 225-237.
|
| |
10
|
ERISMAN, A., AND GRIMES, R. Sparse matrices today. SIAM NEWS 22 (May 1989).
|
| |
11
|
FOGELSON, A. L. A mathematical model and numerical method for studying platelet adhemon and aggregation during blood clotting. J. Comput. Phys. 56 (1984), 111-134.
|
| |
12
|
|
| |
13
|
|
| |
14
|
GILL, P. E., MURRAY, W., SAUNDERS, M. A, AND WRIGHT, M. H. Computing forwarddifference intervals for numerical optimization SIAM J. Sct. Stat. Comput. 4, (1983), 310-321
|
| |
15
|
GILL, P E., MURRAY, W., AND WRIGHT, M.H. Practical Optimization. Academic Press, New York, 1983
|
| |
16
|
GOLUB, G. H., AND VAN LOAN, C.F. MGtFLx Computations. Johns Hopkins Univ. Press, Baltimore, MD, 1984, 362-379.
|
| |
17
|
|
| |
18
|
MORE, J., AND THUENTE, D J. On line search algorithms with guaranteed sufficient decrease. Mathematics and Computer Science Division Preprint MCS-P153-0590, Argonne National Laboratory, Argonne, Ill , 1990.
|
| |
19
|
NASH, S.G. Solving nonlinear programming problems using truncated-Newton techniques In Numerical Optimization 1984, P. T. Boggs, R. H. Byrd, and R. B. Schnabel, Eds., SIAM, Philadelphia, 1985, pp. 119-136.
|
| |
20
|
NASH, S. G., AND SORER, A. Assessing a search direction within a truncated Newton method. Oper. Res. Lett. 9 (1990), 219-22i.
|
| |
21
|
NASH, S G., AND SORER, A A general-purpose parallel algorithm for unconstrained optimization. SIAM J. Opt. I (1991), 530-547.
|
| |
22
|
OPPE, T. C., JOUBERT, W. D., AND KINCAID, D. R. NSPCG User's Guide. Version 1.0: A package for solving large sparse linear systems by various iterative methods. Tech Rep CNA-216, Center for Numerical Analysis, The Univ. of Texas at Austin, 1988.
|
| |
23
|
RosE, D. J. A graph-theoretic study of the numerical solution of sparse positive-definite systems of linear equations. In Graph Theory and Computing, R. C. Read, Ed., Academic Press, NY, 1972.
|
| |
24
|
SEHLICK, T. New approaches to potentia! energy minimization and molecular dynamics algorithms Comput. Chem 15 (1991), 251-260..
|
 |
25
|
|
| |
26
|
SCHLICK, T., HINGERTY, B. E., PESKIN, C. S., OVERTON, M. L., AND BROYDE, S. Search strategies, minimization algorithms, and molecular dynamics simulations for exploring conformational spaces of nucleic acids. In Theoretical B~ochemistry and Molecular Biophystcs, Volume I.' Nuclezc Acids, D. L. Beveridge and R. Lavery, Eds., Adenine Press, Guilderland, New York, 1991, pp. 39-58.
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27
|
SCHLICK, T., AND OVERTON, M. A powerful truncated Newton method for potential energy minimization. J. Cot,put. Chem. 8 (1987), 1025-1039.
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CITED BY 6
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John A. Board, Jr. , Laxmikant V. Kale , Klaus Schulten , Robert D. Skeel , Tamar Schlick, Modeling Biomolecules: Larger Scales, Longer Durations, IEEE Computational Science & Engineering, v.1 n.4, p.19-30, December 1994
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