Uncertain Differential Equations

This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.

The first book available on uncertain differential equations Covers uncertain differential equation with jumps Covers multi-dimensional uncertain differential equation Covers high-order uncertain differential equation Includes supplementary material: sn.pub/extras

Autorentext

Dr. Kai Yao is currently an Associate Professor at the School of Economics and Management, University of Chinese Academy of Sciences. He has published about 50 papers in international journals, which have been cited more than 1700 times in Google Scholar. He serves as an associate editor for Fuzzy Optimization and Decision Making, and as a guest editor for several other journals, including Soft Computing and the Journal of Intelligent Manufacturing. His research interests include Uncertainty Theory, Renewal Theory, and Uncertain Differential Equations.

Inhalt
Introduction.- Uncertain Variable.- Uncertain Process.- Contour Process.- Uncertain Calculus.- Uncertain Differential Equation.- Uncertain Calculus with Renewal Process.- Uncertain Differential Equation with Jumps.- Multi-Dimensional Uncertain Differential Equation.- High-Order Uncertain Differential Equation.