Overview
- Highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization, and similar problems
- Describes applications in robotics, artificial intelligence (AI) systems, economics, control theory, dynamical systems theory, and more
- Provides sample implementations of the interval data type in several programming languages
Part of the book series: Studies in Computational Intelligence (SCI, volume 805)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems
Book Subtitle: From Inequalities Systems to Game Solutions
Authors: Bartłomiej Jacek Kubica
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-13795-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-13794-6Published: 19 March 2019
eBook ISBN: 978-3-030-13795-3Published: 08 March 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 156
Number of Illustrations: 20 b/w illustrations
Topics: Computational Intelligence, Robotics and Automation, Complexity