Cantitate/Preț
Produs

Advances in Convex Analysis and Global Optimization: Honoring the Memory of C. Caratheodory (1873–1950): Nonconvex Optimization and Its Applications, cartea 54

Editat de Nicolas Hadjisavvas, Panos M. Pardalos
en Limba Engleză Hardback – 30 iun 2001
There has been much recent progress in global optimization algo­ rithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. Convex analysis plays a fun­ damental role in the analysis and development of global optimization algorithms. This is due essentially to the fact that virtually all noncon­ vex optimization problems can be described using differences of convex functions and differences of convex sets. A conference on Convex Analysis and Global Optimization was held during June 5 -9, 2000 at Pythagorion, Samos, Greece. The conference was honoring the memory of C. Caratheodory (1873-1950) and was en­ dorsed by the Mathematical Programming Society (MPS) and by the Society for Industrial and Applied Mathematics (SIAM) Activity Group in Optimization. The conference was sponsored by the European Union (through the EPEAEK program), the Department of Mathematics of the Aegean University and the Center for Applied Optimization of the University of Florida, by the General Secretariat of Research and Tech­ nology of Greece, by the Ministry of Education of Greece, and several local Greek government agencies and companies. This volume contains a selective collection of refereed papers based on invited and contribut­ ing talks presented at this conference. The two themes of convexity and global optimization pervade this book. The conference provided a forum for researchers working on different aspects of convexity and global opti­ mization to present their recent discoveries, and to interact with people working on complementary aspects of mathematical programming.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 94053 lei  6-8 săpt.
  Springer Us – 17 sep 2011 94053 lei  6-8 săpt.
Hardback (1) 94669 lei  6-8 săpt.
  Springer Us – 30 iun 2001 94669 lei  6-8 săpt.

Din seria Nonconvex Optimization and Its Applications

Preț: 94669 lei

Preț vechi: 115451 lei
-18% Nou

Puncte Express: 1420

Preț estimativ în valută:
18121 19000$ 14972£

Carte tipărită la comandă

Livrare economică 29 ianuarie-12 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780792369424
ISBN-10: 0792369424
Pagini: 597
Ilustrații: XXIV, 597 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 1.04 kg
Ediția:2001
Editura: Springer Us
Colecția Springer
Seria Nonconvex Optimization and Its Applications

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1. Inner Approximation of State-constrained Optimal Control Problems.- 2. Nonsmooth Problems in Mathematical Diagnostics.- 3. Deterministic Global Optimization for Protein Structure Prediction.- 4. Some Remarks on Minimum Principles.- 5. Transversal Hypergraphs and Families of Polyhedral Cones.- 6. SDP Relaxations in Combinatorial Optimization from a Lagrangian Viewpoint.- 7. Convex Analysis in the Calculus of Variations.- 8. Global Minimization and Parameter Estimation in Computational Biology.- 9. Lagrangian Quadratic Bounds in Polynomial Nonconvex and Boolean Models with Superfluous Constraints.- 10. Generalized Duality in Variational Analysis.- 11. Clustering via D. C. Optimization.- 12. Algorithms and Merit Functions for the Principal Eigen-value.- 13. Modified Versions of the Cutting Angle Method.- 14. Theoretical and Computational Results for a Linear Bilevel Problem.- 15. The Lagrangian Search Method.- 16. An ?—maximum Principle for Generalized Control Systems.- 17. D.C. Optimization Approaches via Markov Models for Restoration of Signal (1-D) and (2-D).- 18. New Positive Semidefinite Relaxations for Nonconvex Quadratic Programs.- 19. Interval Analysis Applied to Global Minimization.- 20. Approximate Analytic Center Quadratic Cut Method for Strongly Monotone Variational Inequalities.- 21. Generating Convex Functions.- 22. The Method of Moments for Nonconvex Variational Problems.- 23. A Pivoting-based Heuristic for the Maximum Clique Problem.- 24. An Analytic Center Self Concordant Cut Method for the Convex Feasibility Problem.- 25. Strengthened Semidefinite Programming Relaxations for the Max-Cut Problem.- 26. Supervised Training Using Global Search Methods.- 27. Learning Rate Adaptation in Stochastic Gradient Descent.- 28. Improving the Particle SwarmOptimizer by Function “Stretching”.- 29. Some Convergence Properties of the Steepest Descent Algorithm Revealed by Renormalisation.- 30. Interior—Point Algorithm for Dantzig and Wolfe Decomposition Principle.- 31. Stochastic Perturbation Methods for Affine Restrictions.- 32. Directed Derivatives of Convex Compact-Valued Mappings.- 33. A Perturbed Auxiliary Problem Method for Paramonotone Multivalued Mappings.- 34. A Note on Random Variational Inequalities and Simple Random Unilateral Boundary Value Problems.- 35. A Comparison Principle and the Lipschitz Continuity for Minimizers.- 36. Tunneling and Genetic Algorithms for Global Optimization.- 37. Convexity and Monotonicity in Global Optimization.