Approximation and Optimization Algorithms, Complexity and Applications /

This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with high...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Demetriou, Ioannis C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pardalos, Panos M. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Springer Optimization and Its Applications, 145
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.