Kubica, Bartłomiej Jacek Interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. From inequalities systems to game solutions. (English) Zbl 1417.65004 Studies in Computational Intelligence 805. Cham: Springer (ISBN 978-3-030-13794-6/hbk; 978-3-030-13795-3/ebook). xviii, 156 p. (2019). Publisher’s description: 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. Cited in 2 Documents MSC: 65-02 Research exposition (monographs, survey articles) pertaining to numerical analysis 93-02 Research exposition (monographs, survey articles) pertaining to systems and control theory 90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming 65Gxx Error analysis and interval analysis Software:ValidatedNumerics.jl; SageMath; GlobSol; Python; ZeroMQ; RabbitMQ PDFBibTeX XMLCite \textit{B. J. Kubica}, Interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. From inequalities systems to game solutions. Cham: Springer (2019; Zbl 1417.65004) Full Text: DOI