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  • 1
    UID:
    almahu_BV013101431
    Format: XXVI, 654 S.
    ISBN: 978-0-7923-7771-9 , 0-7923-7771-0 , 978-1-4613-6970-7
    Series Statement: International series in operations research & management science 27
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Semidefinite Optimierung ; Hochschulschrift ; Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_9949198378902882
    Format: XXVII, 654 p. , online resource.
    Edition: 1st ed. 2000.
    ISBN: 9781461543817
    Series Statement: International Series in Operations Research & Management Science, 27
    Content: Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control theory, and statistics. This tremendous research activity has been prompted by the discovery of important applications in combinatorial optimization and control theory, the development of efficient interior-point algorithms for solving SDP problems, and the depth and elegance of the underlying optimization theory. The Handbook of Semidefinite Programming offers an advanced and broad overview of the current state of the field. It contains nineteen chapters written by the leading experts on the subject. The chapters are organized in three parts: Theory, Algorithms, and Applications and Extensions.
    Note: 1 Introduction -- I Theory -- 2 Convex Analysis on Symmetric Matrices -- 3 The Geometry of Semidefinite Programming -- 4 Duality and Optimality Conditions -- 5 Self-Dual Embeddings -- 6 Robustness 139 -- 7 Error Analysis 163 -- II Algorithms -- 8 Symmetric Cones, Potential Reduction Methods -- 9 Potential Reduction and Primal-Dual Methods -- 10 Path-Following Methods -- 11 Bundle Methods and Eigenvalue Functions -- III Applications and Extensions -- 12 Combinatorial Optimization -- 13 Nonconvex Quadratic Optimization -- 14 SDP in Systems and Control Theory -- 15 Structural Design -- 16 Moment Problems and Semidefinite Optimization -- 17 Design of Experiments in Statistics -- 18 Matrix Completion Problems -- 19 Eigenvalue Problems and Nonconvex Minimization -- 20 General Nonlinear Programming -- References -- A-.1 Conclusion and Further Historical Notes -- A-.1.1 Combinatorial Problems -- A-.l.2 Complementarity Problems -- A-.l.3 Complexity, Distance to III-Posedness, and Condition Numbers -- A-.1.4 Cone Programming -- A-.1.5 Eigenvalue Functions -- A-.1.6 Engineering Applications -- A-.1.7 Financial Applications -- A-.1.8 Generalized Convexity -- A-.1.9 Geometry -- A-.l.10 Implementation -- A-.1.11 Matrix Completion Problems -- A-.1.12 Nonlinear and Nonconvex SDPs -- A-.1.13 Nonlinear Programming -- A-.1.14 Quadratic Constrained Quadratic Programs -- A-.1.15 Sensitivity Analysis -- A-. 1.16 Statistics -- A-. 1.17 Books and Related Material -- A-.1.18 Review Articles -- A-.1.19 Computer Packages and Test Problems -- A-.2 Index.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9780792377719
    Additional Edition: Printed edition: ISBN 9781461369707
    Additional Edition: Printed edition: ISBN 9781461543824
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Hochschulschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_749128372
    Format: Online-Ressource (XXVII, 654 p) , digital
    Edition: Reproduktion Springer eBook Collection. Business and Economics
    ISBN: 9781461543817
    Series Statement: International Series in Operations Research & Management Science 27
    Content: Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control theory, and statistics. This tremendous research activity has been prompted by the discovery of important applications in combinatorial optimization and control theory, the development of efficient interior-point algorithms for solving SDP problems, and the depth and elegance of the underlying optimization theory. The Handbook of Semidefinite Programming offers an advanced and broad overview of the current state of the field. It contains nineteen chapters written by the leading experts on the subject. The chapters are organized in three parts: Theory, Algorithms, and Applications and Extensions
    Additional Edition: ISBN 9781461369707
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780792377719
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461369707
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461543824
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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