Chapter: Semidefinite Programming

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Home > Interior Point Methods of Mathematical Programming > Semidefinite Programming

Interior Point Methods of Mathematical Programming |

Tamás Terlaky

Springer US

Interior Point Methods of Mathematical Programming

Semidefinite Programming

Chapter Info

Authors

Motakuri V. Ramana; Panos M. Pardalos

ARI Id

1664315230902_1177442

Access

Not Available Free

Pages

369-398

DOI

10.1007/978-1-4613-3449-1_9

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4613-3449-1_9

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxi
Front Matter		1-1
Introduction to the Theory of Interior Point Methods	Benjamin Jansen; Cornelis Roos; Tamás Terlaky	3-34
Affine Scaling Algorithm	Takashi Tsuchiya	35-82
Target-Following Methods for Linear Programming	Benjamin Jansen; Cornelis Roos; Tamás Terlaky	83-124
Potential Reduction Algorithms	Kurt M. Anstreicher	125-158
Infeasible-Interior-Point Algorithms	Shinji Mizuno	159-187
Implementation of Interior-Point Methods for Large Scale Linear Programs	Erling D. Anderson; Jacek Gondzio; Csaba Mészáros; Xiaojie Xu	189-252
Front Matter		253-253
Interior-Point Methods for Classes of Convex Programs	Florian Jarre	255-296
Complementarity Problems	Akiko Yoshise	297-367
Semidefinite Programming	Motakuri V. Ramana; Panos M. Pardalos	369-398
Implementing Barrier Methods for Nonlinear Programming	David F. Shanno; Mark G. Breitfeld; Evangelia M. Simantiraki	399-414
Front Matter		415-415
Interior Point Methods for Combinatorial Optimization	John E. Mitchell	417-466
Interior Point Methods for Global Optimization	Panos M. Pardalos; Mauricio G. C. Resende	467-500
Interior Point Approaches for the VLSI Placement Problem	Anthony Vannelli; Andrew Kennings; Paulina Chin	501-528
Chapters/Headings	Author(s)	Pages	Info

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