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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems From Inequalities Systems to Game Solutions
Title
Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems [electronic resource] : From Inequalities Systems to Game Solutions / by Bartłomiej Jacek Kubica.
ISBN
9783030137953
Publication
Cham : Springer International Publishing : Imprint: Springer, 2019.
Physical Description
1 online resource (XVIII, 156 p.) 20 illus.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
April 01, 2019
Series
Studies in Computational Intelligence, 805
Contents
Introduction
Interval calculus
Bounding derivatives by algorithmic differentiation
Branch-and-bound-type methods
Solving equations and inequalities systems using interval B&BT methods
Solving quantified problems using interval methods
Parallelization of B&BT algorithms.
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