Authors:
- Presents cutting-edge research advances, including recently developed models and methods for core scientific issues of interval uncertain optimization
- Includes a symmetrical study of nonlinear interval optimization and related methods
- Features abundant figures and tables making the illustrations of theory intuitive and easy to understand
Part of the book series: Springer Tracts in Mechanical Engineering (STME)
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Table of contents (13 chapters)
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Front Matter
About this book
Keywords
Authors and Affiliations
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College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China
Chao Jiang
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Hebei University of Technology, Hongqiao District, China
Xu Han
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College of Material Science and Engineering, Central South University of Forestry and Technology, Changsha, China
Huichao Xie
About the authors
Bibliographic Information
Book Title: Nonlinear Interval Optimization for Uncertain Problems
Authors: Chao Jiang, Xu Han, Huichao Xie
Series Title: Springer Tracts in Mechanical Engineering
DOI: https://doi.org/10.1007/978-981-15-8546-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-8545-6Published: 09 December 2020
Softcover ISBN: 978-981-15-8548-7Published: 10 December 2021
eBook ISBN: 978-981-15-8546-3Published: 08 December 2020
Series ISSN: 2195-9862
Series E-ISSN: 2195-9870
Edition Number: 1
Number of Pages: XII, 284
Number of Illustrations: 45 b/w illustrations, 58 illustrations in colour
Additional Information: Updated and enhanced translation from the original Chinese language edition
Topics: Optimization, Mathematical and Computational Engineering, Aerospace Technology and Astronautics, Engineering Design