Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems From Inequalities Systems to Game Solutions /

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branches of robotics, artificial intelligence systems, economics, control theory, dynamica...

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Bibliographic Details
Main Author: Kubica, Bartłomiej Jacek (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Computational Intelligence, 805
Subjects:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Dynamics.
Nonlinear theories.
Computational Intelligence.
Control, Robotics, Automation.
Applied Dynamical Systems.
Online Access:Full-text access
Description
Summary:This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branches of robotics, artificial intelligence systems, economics, control theory, dynamical systems theory, and others. Three appendices, on the notation, representation of numbers used as intervals' endpoints, and sample implementations of the interval data type in several programming languages, round out the coverage.
Physical Description:XVIII, 156 p. 20 illus. online resource.
ISBN:9783030137953
ISSN:1860-9503 ;
DOI:10.1007/978-3-030-13795-3

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