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. Pardalosen Limba Engleză Hardback – 30 iun 2001
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 940.53 lei 6-8 săpt. | |
Springer Us – 17 sep 2011 | 940.53 lei 6-8 săpt. | |
Hardback (1) | 946.69 lei 6-8 săpt. | |
Springer Us – 30 iun 2001 | 946.69 lei 6-8 săpt. |
Din seria Nonconvex Optimization and Its Applications
- 18% Preț: 930.48 lei
- 20% Preț: 1255.65 lei
- Preț: 388.82 lei
- 18% Preț: 1197.53 lei
- 18% Preț: 929.55 lei
- 18% Preț: 1787.57 lei
- 18% Preț: 1206.35 lei
- 18% Preț: 935.90 lei
- 18% Preț: 1523.95 lei
- 20% Preț: 976.52 lei
- 18% Preț: 1202.76 lei
- 18% Preț: 3253.61 lei
- 18% Preț: 1197.53 lei
- 15% Preț: 586.24 lei
- 18% Preț: 1198.73 lei
- 24% Preț: 1137.18 lei
- 20% Preț: 975.39 lei
- 18% Preț: 936.95 lei
- 20% Preț: 980.09 lei
- 15% Preț: 633.36 lei
- 18% Preț: 1201.06 lei
- 18% Preț: 931.40 lei
- 18% Preț: 932.97 lei
- 18% Preț: 1197.53 lei
- 18% Preț: 1794.08 lei
- 18% Preț: 1209.88 lei
- 18% Preț: 932.19 lei
Preț: 946.69 lei
Preț vechi: 1154.51 lei
-18% Nou
Puncte Express: 1420
Preț estimativ în valută:
181.21€ • 190.00$ • 149.72£
181.21€ • 190.00$ • 149.72£
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
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
ResearchCuprins
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.