Handbook on Semidefinite, Conic and Polynomial Optimization

Handbook on Semidefinite, Conic and Polynomial Optimization
Author :
Publisher : Springer Science & Business Media
Total Pages : 955
Release :
ISBN-10 : 9781461407690
ISBN-13 : 1461407699
Rating : 4/5 (90 Downloads)

Book Synopsis Handbook on Semidefinite, Conic and Polynomial Optimization by : Miguel F. Anjos

Download or read book Handbook on Semidefinite, Conic and Polynomial Optimization written by Miguel F. Anjos and published by Springer Science & Business Media. This book was released on 2011-11-19 with total page 955 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point methods for linear optimization were extended to solve semidefinite optimization problems. Since the beginning of the 21st century, not only has research into semidefinite and conic optimization continued unabated, but also a fruitful interaction has developed with algebraic geometry through the close connections between semidefinite matrices and polynomial optimization. This has brought about important new results and led to an even higher level of research activity. This Handbook on Semidefinite, Conic and Polynomial Optimization provides the reader with a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization, and polynomial optimization. It contains a compendium of the recent research activity that has taken place in these thrilling areas, and will appeal to doctoral students, young graduates, and experienced researchers alike. The Handbook’s thirty-one chapters are organized into four parts: Theory, covering significant theoretical developments as well as the interactions between conic optimization and polynomial optimization; Algorithms, documenting the directions of current algorithmic development; Software, providing an overview of the state-of-the-art; Applications, dealing with the application areas where semidefinite and conic optimization has made a significant impact in recent years.


Handbook on Semidefinite, Conic and Polynomial Optimization Related Books

Handbook on Semidefinite, Conic and Polynomial Optimization
Language: en
Pages: 955
Authors: Miguel F. Anjos
Categories: Business & Economics
Type: BOOK - Published: 2011-11-19 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied
Handbook on Semidefinite, Conic and Polynomial Optimization
Language: en
Pages: 974
Authors: Jean B Lasserre
Categories:
Type: BOOK - Published: 2016-05-01 - Publisher: Springer

DOWNLOAD EBOOK

This book offers the reader a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization and
Approximation Algorithms and Semidefinite Programming
Language: en
Pages: 253
Authors: Bernd Gärtner
Categories: Mathematics
Type: BOOK - Published: 2012-01-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice
Modeling and Optimization of Interdependent Energy Infrastructures
Language: en
Pages: 722
Authors: Wei Wei
Categories: Technology & Engineering
Type: BOOK - Published: 2019-10-22 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity netw
Semidefinite Optimization and Convex Algebraic Geometry
Language: en
Pages: 487
Authors: Grigoriy Blekherman
Categories: Mathematics
Type: BOOK - Published: 2013-03-21 - Publisher: SIAM

DOWNLOAD EBOOK

An accessible introduction to convex algebraic geometry and semidefinite optimization. For graduate students and researchers in mathematics and computer science