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  • 1
    UID:
    kobvindex_ZIB000005087
    Format: 482 S.
    ISBN: 0-471-95676-7
    Series Statement: Wiley interscience series in discrete mathematics and optimization
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_9947363213902882
    Format: XXII, 474 p. , online resource.
    ISBN: 9781475732160
    Series Statement: Applied Optimization, 33
    Content: For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new `golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques.
    Note: 1 Introduction -- 2 Duality -- 3 Polynomiality of Path-following Methods -- 4 Self-Dual Embedding Technique -- 5 Properties of the Central Path -- 6 Superlinear Convergence -- 7 Central Region Method -- 8 An Implementation of the Homogeneous Algorithm -- 9 A Simplified Correctness Proof for Interior Point Algorithm -- 10 New Analysis of Newton Methods for LCP -- 11 Numerical Evaluation of SDPA -- 12 Robust Modeling of Multi-Stage Portfolio Problems -- 13 An Interior Point SQP Parallel B&B Method -- 14 Solving Linear Ordering Problems -- 15 Finite Element Methods for Solving Parabolic Inverse Problems -- 16 Error Bounds For Quadratic Systems -- 17 Squared Functional Systems and Optimization Problems -- 18 Interior Point Methods: Current Status and Future Directions.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781441948199
    Language: English
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  • 3
    UID:
    b3kat_BV042421440
    Format: 1 Online-Ressource (XXII, 474 p)
    ISBN: 9781475732160 , 9781441948199
    Series Statement: Applied Optimization 33
    Note: For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new 'golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such 'High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques
    Language: English
    Keywords: Semidefinite Optimierung ; Innere-Punkte-Methode ; Konvexe Optimierung
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  • 4
    UID:
    gbv_1655353063
    Format: Online-Ressource (XXII, 476 p, online resource)
    ISBN: 9781475732160
    Series Statement: Applied Optimization 33
    Content: For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new `golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques
    Additional Edition: ISBN 9781441948199
    Additional Edition: Druckausg. ISBN 978-144-194-819-9
    Language: English
    URL: Volltext  (lizenzpflichtig)
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  • 5
    UID:
    gbv_279181213
    Format: XXIV, 482 S. , graph. Darst.
    ISBN: 0471956767
    Series Statement: Wiley-Interscience series in discrete mathematics and optimization
    Note: Literaturverz. S. [449] - 466
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Lineare Optimierung ; Lineare Optimierung ; Algorithmus
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