A weighted full-Newton step primal-dual interior point algorithm for convex quadratic optimization
In this paper a new weighted short-step primal-dual interior point algorithm to solve convex quadratic optimization (CQO) problems. The algorithm uses at each interior iteration afull-Newton step and the strategy of the central to obtain an epsilon-optimal solution of CQO. The algorithm yields the b...
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| Published in: | Statistics, optimization & information computing Vol. 2; no. 1; p. 21 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Hong Kong
International Academic Press (Hong Kong)
2014
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| Subjects: | |
| ISSN: | 2311-004X, 2310-5070 |
| Online Access: | Get full text |
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