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Preface | ||
Constantin Caratheodory: His Life and Work | ||
1 | Inner Approximation of State-constrained Optimal Control Problems | 1 |
2 | Nonsmooth Problems in Mathematical Diagnostics | 11 |
3 | Deterministic Global Optimization for Protein Structure Prediction | 31 |
4 | Some Remarks on Minimum Principles | 75 |
5 | Transversal Hypergraphs and Families of Polyhedral Cones | 105 |
6 | SDP Relaxations in Combinatorial Optimization from a Lagrangian Viewpoint | 119 |
7 | Convex Analysis in the Calculus of Variations | 135 |
8 | Global Minimization and Parameter Estimation in Computational Biology | 153 |
9 | Lagrangian Quadratic Bounds in Polynomial Nonconvex and Boolean Models with Superfluous Constraints | 181 |
10 | Generalized Duality in Variational Analysis | 205 |
11 | Clustering via D. C. Optimization | 221 |
12 | Algorithms and Merit Functions for the Principal Eigenvalue | 235 |
13 | Modified Versions of the Cutting Angle Method | 245 |
14 | Theoretical and Computational Results for a Linear Bilevel Problem | 269 |
15 | The Lagrangian Search Method | 283 |
16 | An [epsilon]-maximum Principle for Generalized Control Systems | 295 |
17 | D.C. Optimization Approaches via Markov Models for Restoration of Signal (1-D) and (2-D) | 303 |
18 | New Positive Semidefinite Relaxations for Nonconvex Quadratic Programs | 319 |
19 | Interval Analysis Applied to Global Minimization | 333 |
20 | Approximate Analytic Center Quadratic Cut Method for Strongly Monotone Variational Inequalities | 345 |
21 | Generating Convex Functions | 361 |
22 | The Method of Moments for Nonconvex Variational Problems | 371 |
23 | A Pivoting-based Heuristic for the Maximum Clique Problem | 383 |
24 | An Analytic Center Self Concordant Cut Method for the Convex Feasibility Problem | 395 |
25 | Strengthened Semidefinite Programming Relaxations for the Max-Cut Problem | 409 |
26 | Supervised Training Using Global Search Methods | 421 |
27 | Learning Rate Adaptation in Stochastic Gradient Descent | 433 |
28 | Improving the Particle Swarm Optimizer by Function "Stretchin | 445 |
29 | Some Convergence Properties of the Steepest Descent Algorithm Revealed by Renormalisation | 459 |
30 | Interior-Point Algorithm for Dantzig and Wolfe Decomposition Principle | 473 |
31 | Stochastic Perturbation Methods for Affine Restrictions | 487 |
32 | Directed Derivatives of Convex Compact-Valued Mappings | 501 |
33 | A Perturbed Auxiliary Problem Method for Paramonotone Multivalued Mappings | 515 |
34 | A Note on Random Variational Inequalities and Simple Random Unilateral Boundary Value Problems | 531 |
35 | Comparison Principle and the Lipschitz Continuity for Minimizers | 545 |
36 | Tunneling and Genetic Algorithms for Global Optimization | 553 |
37 | Convexity and Monotonicity in Global Optimization | 569 |
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Add Advances in Convex Analysis and Global Optimization, Vol. 54, There has been much recent progress in global optimization algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. Convex analysis plays a fundamental role in the analysis and development of global op, Advances in Convex Analysis and Global Optimization, Vol. 54 to the inventory that you are selling on WonderClubX
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Add Advances in Convex Analysis and Global Optimization, Vol. 54, There has been much recent progress in global optimization algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. Convex analysis plays a fundamental role in the analysis and development of global op, Advances in Convex Analysis and Global Optimization, Vol. 54 to your collection on WonderClub |