Advances Optimization Approximation (33 results)
Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
Published by Springer 2018
Series: Springer Optimization and Its Applications, Book 127 of 176. Book 127 of 176 - Springer Optimization and Its Applications
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Published by Society for Industrial and Applied Mathematics 1987
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
Published by Springer 2018
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Published by Society for Industrial and Applied Mathematics 1987
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay, Rassias, Themistocles M., Agrawal, P. N., Acu,
Language: English
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications (138), Band 138)
Vijay Gupta, Themistocles M. Rassias, P. N. Agrawal, Ana Maria Acu
Language: English
Published by Springer-Verlag Gmbh 2018
Series: Springer Optimization and Its Applications, Book 127 of 176. Book 127 of 176 - Springer Optimization and Its Applications
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Gebundene Ausgabe. Condition: Sehr gut. Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - This book presents an in-depth study on advances in constructive approximation theory with recent problems on linear positive operators. State-of-the-art research in constructive approximation is t…reated with extensions to approximation results on linear positive operators in a post quantum and bivariate setting. Methods, techniques, and problems in approximation theory are demonstrated with applications to optimization, physics, and biology. Graduate students, research scientists and engineers working in mathematics, physics, and industry will broaden their understanding of operators essential to pure and applied mathematics. Topics discussed include: discrete operators, quantitative estimates, post-quantum calculus, integral operators, univariate Gruss-type inequalities for positive linear operators, bivariate operators of discrete and integral type, convergence of GBS operators.
Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
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Taschenbuch. Condition: Neu. Advances in Optimization and Approximation | Ding-Zhu Du (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | Springer Us | EAN 9781461336310 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springer…nature[dot]com | Anbieter: preigu.
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Condition: New. Offers a collection of research papers in optimization and approximation that covers the research on optimization problems, including scheduling, location, assignment, linear and nonlinear programming problems as well as problems in molecular biology. This book focuses on algorithmic aspects of research work in o…ptimization. Editor(s): Du, Ding-Zhu; Sun, Jie. Series: Nonconvex Optimization and Its Applications. Num Pages: 404 pages, biography. BIC Classification: PBC; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 23. Weight in Grams: 1650. . 1994. Hardback. . . . .
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Condition: New. Preface. Scheduling Multiprocessor Flow Shops Bo Chen. The k-Walk Polyhedron C.R. Coullard, A.B. Gamble, Jin Liu. Two Geometric Optimization Problems B. Dasgupta, V. Roychowdhury. A Scaled Gradient Projection Algorithm for Linear Complementarit.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 390 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 2. The Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 3. Convergence Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .…. . . . . . . , . . . . 60 4. Complexity Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 5. Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 A Simple Proof for a Result of Ollerenshaw on Steiner Trees . . . . . . . . . . 68 Xiufeng Du, Ding-Zhu Du, Biao Gao, and Lixue Qii 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 2. In the Euclidean Plane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 3. In the Rectilinear Plane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 4. Discussion . . . . . . . . . . . . -. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Optimization Algorithms for the Satisfiability (SAT) Problem . . . . . . . . . 72 Jun Gu 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 2. A Classification of SAT Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7:3 3. Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . IV 4. Complete Algorithms and Incomplete Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . 81 5. Optimization: An Iterative Refinement Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 6. Local Search Algorithms for SAT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 7. Global Optimization Algorithms for SAT Problem . . . . . . . . . . . . . . . . . . . . . . . . 106 8. Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 9. Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 10. Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143 Ergodic Convergence in Proximal Point Algorithms with Bregman Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 Osman Guier 1. Introduction . . . : . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 2. Convergence for Function Minimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158 3. Convergence for Arbitrary Maximal Monotone Operators . . . . . . . . . . . . . . . . . 161 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Adding and Deleting Constraints in the Logarithmic Barrier Method for LP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 D. den Hertog, C. Roos, and T. Terlaky 1. Introduction . . . . . . .
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
Published by Springer 2018
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
Published by Springer 2018
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
Published by Springer 2018
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Recent Advances in Constructive Approximation Theory (Springer Optimization and Its Applications, 138)
Gupta, Vijay; Rassias, Themistocles M.; Agrawal, P. N.; Acu, Ana Maria
Language: English
Published by Springer 2018
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -2. The Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 3. Convergence Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .…. . . . . . . . . . . . . . . , . . . . 60 4. Complexity Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 5. Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 A Simple Proof for a Result of Ollerenshaw on Steiner Trees . . . . . . . . . . 68 Xiufeng Du, Ding-Zhu Du, Biao Gao, and Lixue Qii 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 2. In the Euclidean Plane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 3. In the Rectilinear Plane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 4. Discussion . . . . . . . . . . . . -. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Optimization Algorithms for the Satisfiability (SAT) Problem . . . . . . . . . 72 Jun Gu 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 2. A Classification of SAT Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7:3 3. Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . IV 4. Complete Algorithms and Incomplete Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . 81 5. Optimization: An Iterative Refinement Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 6. Local Search Algorithms for SAT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 7. Global Optimization Algorithms for SAT Problem . . . . . . . . . . . . . . . . . . . . . . . . 106 8. Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 9. Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 10. Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143 Ergodic Convergence in Proximal Point Algorithms with Bregman Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 Osman Guier 1. Introduction . . . : . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 2. Convergence for Function Minimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158 3. Convergence for Arbitrary Maximal Monotone Operators . . . . . . . . . . . . . . . . . 161 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Adding and Deleting Constraints in the Logarithmic Barrier Method for LP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 D. den Hertog, C. Roos, and T. Terlaky 1. Introducti.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Preface. Scheduling Multiprocessor Flow Shops Bo Chen. The k-Walk Polyhedron C.R. Coullard, A.B. Gamble, Jin Liu. Two Geometric Optimization Problems B. Dasgupta, V. Roychowdhury. A Scaled Gradient Projectio…n Algorithm for Linear Complementarit.
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Condition: New. PRINT ON DEMAND pp. 408.
