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Algorithm 851 : CG-DESCENT, a conjugate gradient method with guaranteed descent
Recently, a new nonlinear conjugate gradient scheme was developed which satisfies the descent condition g T k d k ≤ −7/8 ‖ g k ‖ 2 and which is globally convergent whenever the line search fulfills the Wolfe conditions. This article studies the convergence behavior of the algorithm; extensive numeri...
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Published in: | ACM transactions on mathematical software 2006-03, Vol.32 (1), p.113-137 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Recently, a new nonlinear conjugate gradient scheme was developed which satisfies the descent condition
g
T
k
d
k
≤ −7/8 ‖
g
k
‖
2
and which is globally convergent whenever the line search fulfills the Wolfe conditions. This article studies the convergence behavior of the algorithm; extensive numerical tests and comparisons with other methods for large-scale unconstrained optimization are given. |
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ISSN: | 0098-3500 1557-7295 |
DOI: | 10.1145/1132973.1132979 |