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Attraction in Numerical Minimization...
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Attraction in Numerical Minimization = Iteration Mappings, Attractors, and Basins of Attraction /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Attraction in Numerical Minimization/ by Adam B. Levy.
Reminder of title:
Iteration Mappings, Attractors, and Basins of Attraction /
Author:
Levy, Adam B.
Description:
XII, 78 p. 49 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Mathematical optimization. -
Online resource:
https://doi.org/10.1007/978-3-030-04049-9
ISBN:
9783030040499
Attraction in Numerical Minimization = Iteration Mappings, Attractors, and Basins of Attraction /
Levy, Adam B.
Attraction in Numerical Minimization
Iteration Mappings, Attractors, and Basins of Attraction /[electronic resource] :by Adam B. Levy. - 1st ed. 2018. - XII, 78 p. 49 illus. in color.online resource. - SpringerBriefs in Optimization,2190-8354. - SpringerBriefs in Optimization,.
1. Multisets and Multiset Mappings -- 2. Iteration Mappings -- 3. Equilibria in Dynamical Systems -- 4. Attractors -- 5. Basin Analysis Via Simulation.
Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems. Multiset-mappings are introduced to engineer numerical minimization as a repeated application of an iteration mapping. Ideas from numerical variational analysis are extended to define and explore notions of continuity and differentiability of multiset-mappings, and prove a fixed-point theorem for iteration mappings. Concepts from dynamical systems are utilized to develop notions of basin size and basin entropy. Simulations to estimate basins of attraction, to measure and classify basin size, and to compute basin are included to shed new light on convergence behavior in numerical minimization. Graduate students, researchers, and practitioners in optimization and mathematics who work theoretically to develop solution algorithms will find this book a useful resource.
ISBN: 9783030040499
Standard No.: 10.1007/978-3-030-04049-9doiSubjects--Topical Terms:
527675
Mathematical optimization.
LC Class. No.: QA402.5-402.6
Dewey Class. No.: 519.6
Attraction in Numerical Minimization = Iteration Mappings, Attractors, and Basins of Attraction /
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Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems. Multiset-mappings are introduced to engineer numerical minimization as a repeated application of an iteration mapping. Ideas from numerical variational analysis are extended to define and explore notions of continuity and differentiability of multiset-mappings, and prove a fixed-point theorem for iteration mappings. Concepts from dynamical systems are utilized to develop notions of basin size and basin entropy. Simulations to estimate basins of attraction, to measure and classify basin size, and to compute basin are included to shed new light on convergence behavior in numerical minimization. Graduate students, researchers, and practitioners in optimization and mathematics who work theoretically to develop solution algorithms will find this book a useful resource.
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