The Bpmpd Interior Point Solver for Convex Quadratically Constrained Quadratic Programming Problems
The paper describes the convex quadratically constrained quadratic solver Bpmpd which is based on the infeasible–primal–dual algorithm. The discussion includes subjects related to the implemented algorithm and numerical algebra employed. We outline the implementation with emhasis to sparsity and sta...
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| Published in | Large-Scale Scientific Computing Vol. 5910; pp. 813 - 820 |
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| Main Author | |
| Format | Book Chapter |
| Language | English |
| Published |
Germany
Springer Berlin / Heidelberg
2010
Springer Berlin Heidelberg |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783642125348 3642125344 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-642-12535-5_97 |
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| Summary: | The paper describes the convex quadratically constrained quadratic solver Bpmpd which is based on the infeasible–primal–dual algorithm. The discussion includes subjects related to the implemented algorithm and numerical algebra employed. We outline the implementation with emhasis to sparsity and stability issues. Computational results are given on a demonstrative set of convex quadratically constrained quadratic problems. |
|---|---|
| ISBN: | 9783642125348 3642125344 |
| ISSN: | 0302-9743 1611-3349 |
| DOI: | 10.1007/978-3-642-12535-5_97 |