Enhancing convexification techniques for solving nonconvex quadratic programming problems
At the intersection of combinatorial and nonlinear optimization, quadratic programming (QP) plays an important role in practice and optimization theory. With wide-spread real-world applications including, but not limited to, engineering design, game theory, and economics, quadratic programming has m...
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| 格式: | Theses and Dissertations |
| 語言: | English |
| 出版: |
2017
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/72726 |
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