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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

From Inequalities Systems to Game Solutions

  • Bartłomiej Jacek Kubica

Part of the Studies in Computational Intelligence book series (SCI, volume 805)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Bartłomiej Jacek Kubica
    Pages 1-3
  3. Bartłomiej Jacek Kubica
    Pages 5-16
  4. Bartłomiej Jacek Kubica
    Pages 17-25
  5. Bartłomiej Jacek Kubica
    Pages 27-45
  6. Bartłomiej Jacek Kubica
    Pages 65-77
  7. Bartłomiej Jacek Kubica
    Pages 79-90
  8. Bartłomiej Jacek Kubica
    Pages 91-99
  9. Bartłomiej Jacek Kubica
    Pages 101-131
  10. Back Matter
    Pages 133-156

About this book

Introduction

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.

Keywords

Interval Methods Nonlinear Constraint Satisfaction Optimization Inequalities Systems Game Solutions

Authors and affiliations

  • Bartłomiej Jacek Kubica
    • 1
  1. 1.Department of Applied InformaticsWarsaw University of Life SciencesWarsawPoland

Bibliographic information