A generalized conjugate gradient algorithm for minimization
โ Scribed by Fridrich Sloboda
- Publisher
- Springer-Verlag
- Year
- 1980
- Tongue
- English
- Weight
- 289 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0029-599X
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๐ SIMILAR VOLUMES
## A generalization of the conjugate directions minimization technique enables utilization of a coarse univariate subsearch to identify acceptable points (as opposed to a minimizing line search) and performs better than commonly-used conjugate directions algorithms. It performs comparably to and has
We apply Shanno's conjugate gradient algorithm to the problem of minimizing the potential energy function associated with molecular mechanical calculations. Shanno's algorithm is stable with respect to roundoff errors and inexact line searches and converges rapidly to a minimum. Equally important, t
This note outlines some modifications in implementing the Davison Wang algorithm[l] for minimizing functions with a finite number of variables; the modifications result in fewer function evaluations required for calculating the gradients of the objective function.