Approximation and Optimization: Algorithms, Complexity and Applications
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- Artikel-Nr.: 10387687
Beschreibung
Introduction.- Evaluation Complexity Bounds for Smooth Constrained Nonlinear Optimization using Scaled KKT Conditions and High-order Models.- Data-Dependent Approximation in Social Computing.- Multi-Objective Evolutionary Optimization Algorithms for Machine Learning: a Recent Survey.- No Free Lunch Theorem, a Review.- Piecewise Convex-Concave Approximation in the Minimax Norm.- A Decomposition Theorem for the Least Squares Piecewise Monotonic Data Approximation Problem.- Recent Progress in Optimization of Multiband Electrical Filters.- Impact of Error in Parameter Estimations on Large Scale Portfolio Optimization.- Optimal Design of Smart Composites.- Tax Evasion as an Optimal Solution to a Partially Observable Markov Decision Process.
Eigenschaften
Breite: | 160 |
Gewicht: | 385 g |
Höhe: | 15 |
Länge: | 237 |
Seiten: | 237 |
Sprachen: | Englisch |
Autor: | Ioannis C. Demetriou, Panos M. Pardalos |
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