Overview
- Discusses all major aspects of unconstrained optimization with R
- Presents important, basic methods with their algorithms, analysis, and proofs
- Includes manually worked examples, R scripts, and real-world applications
- Provides exercises at the end of chapters for better understanding and practice
- Is useful to students of operations research, statistics, mathematics, engineering, management, economics, and agriculture
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Shashi Kant Mishra, Ph.D., D.Sc., is Professor at the Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, India. With over 20 years of teaching experience, he has authored six books, including textbooks and monographs, and has been on the editorial boards of several respected international journals. He has guest edited special issues of the Journal of Global Optimization and Optimization Letters (both Springer Nature) and Optimization (Taylor & Francis). A DST Fast Track Fellow (2001–2002), Prof. Mishra has published over 150 papers and supervised 15 Ph.D. students. He has visited around 15 institutes/universities in countries such as France, Canada, Italy, Spain, Japan, Taiwan, China, Singapore, Vietnam, and Kuwait.
Bhagwat Ram is a Senior Research Fellow at the DST Centre for Interdisciplinary Mathematical Sciences, Institute of Science, Banaras Hindu University, Varanasi. He holds an M.Sc. in Computer Science, and co-authored the book Introduction to Linear Programming with MATLAB, with Prof. Shashi Kant Mishra. He is currently developing generalized gradient methods to solve unconstrained optimization problems and instructing graduate students in their MATLAB practicals at the Centre for Interdisciplinary Mathematical Sciences at the Banaras Hindu University. He received an international travel grant from the Council of Scientific Industrial and Research, Government of India, to attend a summer school on linear programming at New South Wales University, Australia, in January 2019.
Bibliographic Information
Book Title: Introduction to Unconstrained Optimization with R
Authors: Shashi Kant Mishra, Bhagwat Ram
DOI: https://doi.org/10.1007/978-981-15-0894-3
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-15-0893-6Published: 14 January 2020
Softcover ISBN: 978-981-15-0896-7Published: 15 January 2021
eBook ISBN: 978-981-15-0894-3Published: 17 December 2019
Edition Number: 1
Number of Pages: XVI, 304
Number of Illustrations: 715 b/w illustrations, 50 illustrations in colour
Topics: Optimization, Computational Mathematics and Numerical Analysis