Advances in Convex Analysis and Global Optimization: Nonconvex Optimization and Its Applications, cartea 54
Editat de Nicolas Hadjisavvas, Panos M. Pardalosen Limba Engleză Paperback – 17 sep 2011
Din seria Nonconvex Optimization and Its Applications
-
Preț: 389.77 lei - 18%
Preț: 1165.24 lei - 18%
Preț: 899.46 lei - 18%
Preț: 1738.02 lei - 18%
Preț: 1177.32 lei - 18%
Preț: 908.18 lei - 18%
Preț: 1481.05 lei - 20%
Preț: 973.54 lei - 18%
Preț: 1184.54 lei - 24%
Preț: 3197.53 lei - 18%
Preț: 1202.31 lei - 18%
Preț: 1170.20 lei - 20%
Preț: 948.10 lei - 18%
Preț: 913.32 lei - 20%
Preț: 965.59 lei - 15%
Preț: 618.66 lei - 18%
Preț: 905.46 lei - 18%
Preț: 905.59 lei - 18%
Preț: 1197.21 lei - 18%
Preț: 1743.51 lei - 18%
Preț: 1274.76 lei - 18%
Preț: 914.52 lei - 18%
Preț: 1209.02 lei - 15%
Preț: 618.47 lei - 15%
Preț: 618.66 lei - 18%
Preț: 1756.71 lei - 18%
Preț: 908.71 lei - 20%
Preț: 971.71 lei - 20%
Preț: 973.10 lei - 18%
Preț: 1178.72 lei - 18%
Preț: 1210.53 lei
Preț: 946.33 lei
Preț vechi: 1154.06 lei
-18%
Puncte Express: 1419
Carte tipărită la comandă
Livrare economică 10-24 iulie
Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Specificații
ISBN-13: 9781461379751
ISBN-10: 146137975X
Pagini: 624
Ilustrații: XXIV, 597 p.
Dimensiuni: 160 x 240 x 34 mm
Greutate: 0.98 kg
Ediția:2001
Editura: Springer
Colecția Nonconvex Optimization and Its Applications
Seria Nonconvex Optimization and Its Applications
Locul publicării:New York, NY, United States
ISBN-10: 146137975X
Pagini: 624
Ilustrații: XXIV, 597 p.
Dimensiuni: 160 x 240 x 34 mm
Greutate: 0.98 kg
Ediția:2001
Editura: Springer
Colecția Nonconvex Optimization and Its Applications
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.