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Advances in convex analysis and global optimization : honoring the. Titelvorschau

Advances in convex analysis and global optimization : honoring the.

Verfasser/in: Anna Carey
Verlag: [Place of publication not identified] : Springer, 2012.
Ausgabe/Format   Print book : Englisch

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Dokumenttyp: Buch
Alle Autoren: Anna Carey
ISBN: 146137975X 9781461379751
OCLC-Nummer: 801658974
Beschreibung: pages
Inhalt: Preface. Constantin Caratheodory: His Life and Work; C. Phili. 1. Inner Approximation of State-constrained Optimal Control Problems; F.H. Clarke, R.J. Stern. 2. Nonsmooth Problems in Mathematical Diagnostics; V.F. Demyanov, et al. 3. Deterministic Global Optimization for Protein Structure Prediction; J.L. Klepeis, C.A. Floudas. 4. Some Remarks on Minimum Principles; F. Giannessi. 5. Transversal Hypergraphs and Families of Polyhedral Cones; L. Khachiyan. 6. SDP Relaxations in Combinatorial Optimization from a Lagrangian Viewpoint; C. Lemarechal, F. Oustry. 7. Convex Analysis in the Calculus of Variations; R.T. Rockafellar. 8. Global Minimization and Parameter Estimation in Computational Biology; J.B. Rosen, et al. 9. Lagrangian Quadratic Bounds in Polynomial Nonconvex and Boolean Models with Superfluous Constraints; N.Z. Shor. 10. Generalized Duality in Variational Analysis; S.M. Robinson. 11. Clustering via D.C. Optimization; H. Tuy, et al. 12. Algorithms and Merit Functions for the Principal Eigenvalue; G. Auchmuty. 13. Modified Versions of the Cutting Angle Method; A.M. Bagirov, A.M. Rubinov. 14. Theoretical and Computational Results for a Linear Bilevel Problem; M. Campelo, S. Scheimberg. 15. The Lagrangian Search Method; P.S. Efraimidis, P.G. Spirakis. 16. An epsilon-maximum Principle for Generalized Control Systems; A.H. Hamel. 17. D.C. Optimization Approaches via Markov Models for Restoration of Signal (1-D) and (2-D); L.T.H. An, P.D. Tao.18. New Positive Semidefinite Relaxations for Nonconvex Quadratic Programs; J.B. Lasserre. 19. Interval Analysis Applied to Global Minimization; C. Lavor, N. Maculan. 20. Approximate Analytic Center Quadratic Cut Method for Strongly Monotone Variational Inequalities; H.J. Luthi, B. Bueler. 21. Generating Convex Functions; P. Marechal. 22. The Method of Moments for Nonconvex Variational Problems; R. Meziat, et al. 23. A Pivoting-based Heuristic for the Maximum Clique Problem; A. Massaro, M. Pelillo. 24. An Analytic Center Self Concordant Cut Method for the Convex Feasibility Problem; F.S. Mokhtarian, J.L. Goffin. 25. Strengthened Semidefinite Programming Relaxations for the Max-Cut Problem; M.F. Anjos, H. Wolkowicz. 26. Supervised Training Using Global Search Methods; V.P. Plagianakos, et al. 27. Learning Rate Adaptation in Stochastic Gradient Descent; V.P. Plagianakos, et al. 28. Improving the Particle Swarm Optimizer by Function 'Stretching'; K.E. Parsopoulos, et al. 29. Some Convergence Properties of the Steepest Descent Algorithm Revealed by Renormalisation; L. Pronzato, et al. 30. Interior-Point Algorithm for Dantzig and Wolfe Decomposition Principle; M.A. dos Santos, P.R. Oliveira. 31. Stochastic Perturbation Methods for Affine Restrictions; M. Bouhadi, et al. 32. Directed Derivatives of Convex Compact-Valued Mappings; R. Baier, E.M. Farkhi. 33. A Perturbed Auxiliary Problem Method for Paramonotone Multivalued Mappings; G. Salmon, et al. <
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