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.
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.
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
Bartłomiej Jacek Kubica
Interval Methods Nonlinear Constraint Satisfaction Optimization Inequalities Systems Game Solutions complexity