System Modeling and Optimization XX: IFIP TC7 20th Conference on System Modeling and Optimization July 23–27, 2001, Trier, GermanyE.W. Sachs, R. Tichatschke Springer Science & Business Media, 2003 M07 31 - 331 páginas System Modeling and Optimization XX deals with new developments in the areas of optimization, optimal control and system modeling. The themes range across various areas of optimization: continuous and discrete, numerical and analytical, finite and infinite dimensional, deterministic and stochastic, static and dynamic, theory and applications, foundations and case studies. Besides some classical topics, modern areas are also presented in the contributions, including robust optimization, filter methods, optimization of power networks, data mining and risk control. This volume contains invited and selected papers from presentations at the 20th IFIP TC7 Conference on System Modeling and Optimization, which took place at the University of Trier, Germany from July 23 to 27, 2001, and which was sponsored by the International Federation for Information Processing (IFIP). |
Contenido
II | 1 |
III | 23 |
IV | 55 |
V | 71 |
VI | 91 |
VII | 113 |
VIII | 143 |
IX | 169 |
XII | 213 |
XIII | 229 |
XIV | 239 |
XV | 255 |
XVI | 271 |
XIX | 287 |
XX | 301 |
XXI | 317 |
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Términos y frases comunes
adjoint algorithm analysis applied approximation assume assumption boundary bounded consider constraints convergence convex cost function CPLEX dataset defined denote derivative differentiable discretization domain dual equation evaluation exists feasible Figure finite given global gradient holds implicit filtering inequality integration interior-point isomorphism iteration K₁ kernel Lagrangian layered graphs Lemma linear program Lipschitz continuous Lyapunov Stability Mathematics matrix max cut method minimization mk(xk multicommodity nonlinear nonlinear programming objective function obtain optimal control optimal control problem optimization problem parallel reversal schedules parameter perturbation piecewise positive semidefinite problem 1.1 quadratic programming reduced Hessian robust counterpart S-fi satisfies semidefinite program sensitivity shape optimization SIAM smooth solution solvers solving stochastic programs structure support vector machine Theorem tion transformed trust-region variables πί