Method of dual matrices for function minimization-Reference-Cited by-同舟云学术

Method of dual matrices for function minimization

Published:1974-05 Issue:5 Volume:13 Page:519-537
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Huang H. Y.

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/BF00933042.pdf

Reference18 articles.

1. Huang, H. Y.,Method of Dual Matrices for Function Minimization, Rice University, Aero-Astronautics Report No. 88, 1972.

2. Hestenes, M. R., andStiefel, E.,Methods of Conjugate Gradients for Solving Linear Systems, Journal of Research of the National Bureau of Standards, Vol. 40, No. 6, 1952.

3. Davidon, W. C.,Variable Metric Methods for Minimization, Argonne National Laboratory, Report No. ANL-5990, 1959.

4. Beckman, F. S.,The Solution of Linear Equations by the Conjugate Gradient Method, Mathematical Methods for Digital Computers, Edited by A. Ralston and H. S. Wilf, John Wiley and Sons, New York, New York, 1960.

5. Fletcher, R., andPowell, M. J. D.,A Rapidly Convergent Descent Method for Minimization, Computer Journal, Vol. 6, No. 2, 1963.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determination of Principal Axes ot Truss Towers;Computer-Aided Civil and Infrastructure Engineering;2008-11-06

2. Some History of the Conjugate Gradient and Lanczos Algorithms: 1948–1976;SIAM Review;1989-03

3. Principal axes of wind-loaded trusses;Computers & Structures;1988-01

4. A least pth optimization algorithm without calculating derivatives;IEEE Transactions on Circuits and Systems;1981-04

5. One class of dual matrix methods;Linear Algebra and its Applications;1979-10