Penalized semidefinite programming for quadratically-constrained quadratic optimization
نویسندگان
چکیده
منابع مشابه
On Efficient Semidefinite Relaxations for Quadratically Constrained Quadratic Programming
Two important topics in the study of Quadratically Constrained Quadratic Programming (QCQP) are how to exactly solve a QCQP with few constraints in polynomial time and how to find an inexpensive and strong relaxation bound for a QCQP with many constraints. In this thesis, we first review some important results on QCQP, like the S-Procedure, and the strength of Lagrangian Relaxation and the semi...
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ژورنال
عنوان ژورنال: Journal of Global Optimization
سال: 2020
ISSN: 0925-5001,1573-2916
DOI: 10.1007/s10898-020-00918-8