Proceedings of the 2nd International Conference on Teaching and Computational Science

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Improvement of Gradient Projection Algorithm for Nonlinear Programming

Authors
Dan Wang, Yong-ming Zhang
Corresponding Author
Dan Wang
Available Online May 2014.
DOI
10.2991/ictcs-14.2014.33How to use a DOI?
Keywords
lu decomposition, large scale sparse, nonlinear optimization.
Abstract

The search direction by making use of the matrix LU decomposition gradient projection algorithm for nonlinear programming is given, the stability of sparse and thealgorithm of this method can maintain effective constraintmatrix, the algorithm can be applied to large sparsenonlinear optimization problem with linear constraints.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Teaching and Computational Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-62520-21-9
ISSN
1951-6851
DOI
10.2991/ictcs-14.2014.33How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Dan Wang
AU  - Yong-ming Zhang
PY  - 2014/05
DA  - 2014/05
TI  - Improvement of Gradient Projection Algorithm for Nonlinear Programming
BT  - Proceedings of the 2nd International Conference on Teaching and Computational Science
PB  - Atlantis Press
SP  - 126
EP  - 127
SN  - 1951-6851
UR  - https://doi.org/10.2991/ictcs-14.2014.33
DO  - 10.2991/ictcs-14.2014.33
ID  - Wang2014/05
ER  -