Approximation and Optimization: Algorithms, Complexity and Applications

By Ioannis C. Demetriou

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.

• Format: Paperback
• Language: English
• ISBN: 3030127699
• ISBN13: 9783030127695
• Release Date: August 2020
• Publisher: Springer
• Length: 237 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"