Overview
- 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
Part of the book series: Springer Uncertainty Research (SUR)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
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Authors and Affiliations
Bibliographic Information
Book Title: Uncertain Differential Equations
Authors: Kai Yao
Series Title: Springer Uncertainty Research
DOI: https://doi.org/10.1007/978-3-662-52729-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-52727-6Published: 06 September 2016
Softcover ISBN: 978-3-662-57075-3Published: 12 June 2018
eBook ISBN: 978-3-662-52729-0Published: 29 August 2016
Series ISSN: 2199-3807
Series E-ISSN: 2199-3815
Edition Number: 1
Number of Pages: XIII, 158
Topics: Computational Intelligence, Quantitative Finance, Probability and Statistics in Computer Science