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Attraction in numerical minimization...

Levy, Adam B.

Attraction in numerical minimizationiteration mappings, attractors, and basins of attraction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Attraction in numerical minimizationby Adam B. Levy.
Reminder of title:	iteration mappings, attractors, and basins of attraction /
Author:	Levy, Adam B.
Published:	Cham :Springer International Publishing :2018.
Description:	xii, 78 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statisticsData processing.
Online resource:	https://doi.org/10.1007/978-3-030-04049-9
ISBN:	9783030040499$q(electronic bk.)

Attraction in numerical minimizationiteration mappings, attractors, and basins of attraction /
Levy, Adam B.

Attraction in numerical minimizationiteration mappings, attractors, and basins of attraction /[electronic resource] :by Adam B. Levy. - Cham :Springer International Publishing :2018. - xii, 78 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-04049-9doiSubjects--Topical Terms:

183916
Mathematical statistics
--Data processing.

LC Class. No.: QA276.4 / .L489 2018

Dewey Class. No.: 519.5

Attraction in numerical minimizationiteration mappings, attractors, and basins of attraction /
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520 $a 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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