Efficient generalized conjugate gradient algorithms, part 1: Theory-Reference-Cited by-同舟云学术

Efficient generalized conjugate gradient algorithms, part 1: Theory

Published:1991-04 Issue:1 Volume:69 Page:129-137
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Liu Y.,Storey C.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

http://link.springer.com/content/pdf/10.1007/BF00940464.pdf

Reference9 articles.

1. Daniel, J. W.,The Conjugate Gradient Method for Linear and Nonlinear Operator Equations, SIAM Journal on Numerical Analysis, Vol. 4, pp. 10?26, 1967.

2. Sorenson, H. W.,Comparison of Some Conjugate Direction Procedures for Function Minimization, Journal of the Franklin Institute, Vol. 288, pp. 421?441, 1969.

3. Polak, E., andRibiere, G.,Note sur la Convergence des Méthodes de Directions Conjuguées, Revue Française d'Informatique et de Recherche Operationelle, Vol. 16, pp. 35?43, 1969.

4. Fletcher, R., andReeves, C. M.,Function Minimization by Conjugate Gradients, Computer Journal, Vol. 7, pp. 149?154, 1964.

5. Powell, M. J. D.,Nonconvex Minimization Calculations and the Conjugate Gradient Method, Report No. DAMTP 1983/NA14, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, England, 1983.

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