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(2010.12.20 3:00pm,C110)Progress on Quadratic Optimization
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Update time: 2010-11-30
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Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:
Prof.Shu-Cherng Fang, Walter Clark Chair and University Alumni Distinguished Graduate Department of Industrial and Systems Engineering, North Carolina State University, North Carolina, USA
Title:
Progress on Quadratic Optimization
Time:
2010.12.20 3:00pm
Venue:
C110 
Abstract:

Quadratic optimization is a major step toward global optimization. The indefiniteness of a quadratic form may lead to NP-Hardness. Variants of quadratic optimization are often seen in applications such as the linearly constrained quadratic programming problem, trust region method, max-cut problem, binary quadratic programming problem, box constrained quadratic programming problem, and quadratically constrained quadratic programming problem. In this talk, we report the research progress on quadratic optimization made by integrating the Lagrangian-based methods, semi-definite programming techniques, conic programming theory, and cones of nonnegative quadratic functions.

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