Semidefinite Optimization and Convex Algebraic Geometry by Grigoriy Blekherman

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Summary

Provides a self-contained, accessible introduction to the mathematical advances and challenges resulting from the use of semidefinite programming in polynomial optimization. This quickly evolving research area with contributions from the diverse fields of convex geometry, algebraic geometry, and optimization is known as convex algebraic geometry.

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Semidefinite Optimization and Convex Algebraic Geometry by Grigoriy Blekherman

Provides a self-contained, accessible introduction to the mathematical advances and challenges resulting from the use of semidefinite programming in polynomial optimization. This quickly evolving research area with contributions from the diverse fields of convex geometry, algebraic geometry, and optimization is known as convex algebraic geometry.
Grigoriy Blekherman is an assistant professor at Georgia Institute of Technology and a 2012 recipient of the Sloan Research Fellowship. His research interests lie at the intersection of convex and algebraic geometry. Pablo A. Parrilo is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He has received the SIAG/CST Prize and the IEEE Antonio Ruberti Young Researcher Prize. His research interests include mathematical optimization, systems and control theory, and computational methods for engineering applications. Rekha R. Thomas is a Professor of Mathematics at the University of Washington. Her research interests are in optimization and computational algebra.
SKU Unavailable
ISBN 13 9781611972283
ISBN 10 1611972280
Title Semidefinite Optimization and Convex Algebraic Geometry
Author Grigoriy Blekherman
Series Mos-Siam Series On Optimization
Condition Unavailable
Binding Type Paperback
Publisher Society for Industrial & Applied Mathematics,U.S.
Year published 2012-12-30
Number of pages 495
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.