Viability theory designs and develops mathematical and algorithmic methods for investigating the adaptation to viability constraints of evolutions governed by complex systems under uncertainty that are found in many domains involving living beings, from biological evolution to economics, from environmental sciences to financial markets, from control theory and robotics to cognitive sciences. It involves interdisciplinary investigations spanning fields that have traditionally developed in isolation. The purpose of this book is to present an initiation to applications of viability theory, explaining and motivating the main concepts and illustrating them with numerous numerical examples taken from various fields.
Rezensionen / Stimmen
From the reviews of the second edition:
"This comprehensive book of more than 800 pages has many purposes. . who want to learn the theory and may be interested in its research potential will also be quite happy with the book. . authors have made their book very lively by providing quotations and pictures of famous scientists and writers . . great reference for many types of readers: mathematicians, application-oriented users, and even science historians interested in the evolution of science and its cultural aspects. It will certainly motivate young scientists . ." (Alain Bensoussan, Mathematical Reviews, January, 2011)
"This is the second edition of the well-known monograph. It is devoted to the viability theory and algorithmic methods for investigation of the adaptation of complex systems with uncertainties. Such systems can be found in biology, economics, environmental sciences, final markets, control theory, robotics etc. . The monograph contains many unpublished results and is addressed to graduate students and scientists." (Tadeusz Kaczorek, Zentralblatt MATH, Vol. 1238, 2012)
