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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems : From Inequalities Systems to Game Solutions / by Bartłomiej Jacek Kubica

By: Kubica, Bartłomiej Jacek, autor
Contributor(s): SpringerLink (Online service)
Series: (Studies in Computational Intelligence, 1860-949X; 805); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XVIII, 156 páginas) : 20 ilustraciones.ISBN: 9783030137953.Subject: Análisis numérico | Ecuaciones diferenciales no lineales | RobóticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA297.75 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks26062168
Total holds: 0

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.

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.

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