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Semidefinite programming is an important numerical tool for analysis and synthesis in systems and control theory. It has also been recognized in combinatorial optimization as a valuable technique for obtaining bounds on the solution of NP-hard problems.
The objective of the article is to provide a brief introduction to SDP and its application to problems from chemical process control. Published in: Proceedings ...
The objective of this article is to provide a brief introduction to SDP and its ap- plication to problems from chemical process control. I. INTRODUCTION. TO ...
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Aug 25, 1998 · Semidefinite programming is an important numerical tool for analysis and synthesis in systems and control theory. It has also been recognized in ...
Semidefinite programming is an important numerical tool for analysis and synthesis in systems and control theory.
Oct 22, 2024 · A number of important problems from system and control theory can be numerically solved by reformulating them as semidefinite programming ...
SDP has applications in such diverse fields as traditional convex constrained optimization, control theory, and combinatorial optimization. Because SDP is ...
Missing: process | Show results with:process
Semidefinite programming has been used in the optimization of complex systems. In recent years, some quantum query complexity problems have been formulated in ...
Semidefinite programming is an important numerical tool for analysis and synthesis in systems and control theory. It has also been recognized in combinatorial ...
Missing: process | Show results with:process
This paper has investigated existing and new applications of the semidefinite programming formulation of the optimal power flow problem. We have discussed ...