Chapter: Semidefinite Programming

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Home > Interior Point Techniques in Optimization: Complementarity, Sensitivity and Algorithms > Semidefinite Programming

Interior Point Techniques in Optimization: Complementarity, Sensitivity and Algorithms |

Springer US

Interior Point Techniques in Optimization: Complementarity, Sensitivity and Algorithms

Semidefinite Programming

Chapter Info

Authors

Benjamin Jansen

ARI Id

1664332633564_1252212

Access

Not Available Free

Pages

221-239

DOI

10.1007/978-1-4757-5561-9_10

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4757-5561-9_10

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xiv
Introduction	Benjamin Jansen	1-11
The Theory of Linear Programming	Benjamin Jansen	13-26
Sensitivity Analysis in Linear Programming	Benjamin Jansen	27-55
Sensitivity Analysis in Quadratic Programming	Benjamin Jansen	57-69
Primal-Dual Affine Scaling Methods for Linear Problems	Benjamin Jansen	71-99
Primal-Dual Affine Scaling Methods for Nonlinear Problems	Benjamin Jansen	101-128
Computational Results with Affine Scaling Methods	Benjamin Jansen	129-146
Target-Following for Linear Programming	Benjamin Jansen	147-194
Target-Following for Nonlinear Programming	Benjamin Jansen	195-219
Semidefinite Programming	Benjamin Jansen	221-239
Interior Point Methods in Decomposition	Benjamin Jansen	241-247
Back Matter		249-279
Chapters/Headings	Author(s)	Pages	Info

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