NITSOL: A Newton iterative solver for nonlinear systems
Journal Article
·
· SIAM Journal on Scientific Computing
- Univ. of Utah, Salt Lake City, UT (United States). Center for High Performance Computing
- Utah State Univ., Logan, UT (United States). Dept. of Mathematics and Statistics
The authors introduce a well-developed Newton iterative (truncated Newton) algorithm for solving large-scale nonlinear systems. The framework is an inexact Newton method globalized by backtracking. Trial steps are obtained using one of several Krylov subspace methods. The algorithm is implemented in a Fortran solver called NITSOL that is robust yet easy to use and provides a number of useful options and features. The structure offers the user great flexibility in addressing problem specificity through preconditioning and other means and allows easy adaptation to parallel environments. Features and capabilities are illustrated in numerical experiments.
- Sponsoring Organization:
- USDOE, Washington, DC (United States); National Science Foundation, Washington, DC (United States)
- DOE Contract Number:
- FG03-94ER25221
- OSTI ID:
- 599820
- Journal Information:
- SIAM Journal on Scientific Computing, Vol. 19, Issue 1; Other Information: PBD: Jan 1998
- Country of Publication:
- United States
- Language:
- English
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