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Nonlinear Programming Codes - Klaus Schittkowski
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Nonlinear Programming Codes - new book

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Nonlinear Programming Codes : Information, Tests, Performance - S. Nakamura
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Nonlinear Programming Codes : Information, Tests, Performance - new book

ISBN: 9783642464249

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Klaus Schittkowski:
Nonlinear Programming Codes - new book

2012, ISBN: 9783642464249

Information, Tests, Performance, eBook Download (PDF), eBooks, [PU: Springer Berlin Heidelberg]

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Details of the book - Nonlinear Programming Codes


EAN (ISBN-13): 9783642464249
Publishing year: 2012
Publisher: Springer Berlin Heidelberg

Book in our database since 2017-05-09T19:07:19-04:00 (New York)
Detail page last modified on 2023-10-03T10:13:13-04:00 (New York)
ISBN/EAN: 9783642464249

ISBN - alternate spelling:
978-3-642-46424-9
Alternate spelling and related search-keywords:
Book author: schittkowski, bevilacqua, nakamura


Information from Publisher

Author: Klaus Schittkowski
Title: Lecture Notes in Economics and Mathematical Systems; Nonlinear Programming Codes - Information, Tests, Performance
Publisher: Springer; Springer Berlin
248 Pages
Publishing year: 2012-12-06
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
VIII, 248 p.

EA; E107; eBook; Nonbooks, PBS / Wirtschaft/Allgemeines, Lexika; Unternehmensforschung; Verstehen; Distribution; algorithms; evaluation; linear optimization; mathematical programming; nonlinear optimization; optimization; quadratic programming; sensitivity analysis; C; Operations Research/Decision Theory; Operations Research and Decision Theory; Business and Management; Management: Entscheidungstheorie; BC

I: Introduction.- II: Optimization methods.- 1. Line-search algorithms.- 2. Quadratic programming.- 3. Unconstrained optimization.- 4. Penalty methods.- 5. Multiplier methods.- 6. Quadratic approximation methods.- 7. Generalized reduced gradient methods.- 8. The method of Robinson.- III: Optimization programs.- 1. Program organization.- 2. Description of the programs.- IV: The construction of test problems.- 1. Fundamentals of the test problem generator.- 2. General test problems.- 3. Linearly constrained test problems.- 4. Degenerate test problems.- 5. Ill-conditioned test problems.- 6. Indefinite test problems.- 7. Convex test problems.- V: Performance evaluation.- 1. Notations.- 2. Efficiency, reliability, and global convergence.- 3. Performance for solving degenerate, ill-conditioned, and indefinite problems.- 4. Sensitivity to slight variations of the problem.- 5. Sensitivity to the position of the starting point.- 6. Ease of use.- 7. How to get a final score.- VI: Conclusions, recommendations, remarks.- 1. Pinal conclusions.- 2. Recommendations for the design of optimization programs.- 3. Some technical details.- Appendix A : Numerical data for constructing test problems.- Appendix B : Sensitivity analysis for the test problems.- Appendix C : Further results.- Appendix D : Evaluation of significance factors.- References.

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