Overview
- Honors the path laid down by C.R. Rao and Arbind Kumar Lal
- Focuses on applications of data analytics to real-life problems and linear algebra to machine learning
- Discusses research in linear algebra, graphs, operator theory, game theory, and statistics
Part of the book series: Indian Statistical Institute Series (INSIS)
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Table of contents (26 chapters)
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Front Matter
Keywords
About this book
This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to inspire us all and Prof. Arbind K. Lal who has sadly departed us too early, it has contributions from collaborators, students, colleagues and admirers of Professors Rao and Lal. With many chapters on generalized inverses, matrix analysis, matrices and graphs, applied probability and statistics, and the history of ancient mathematics, this book offers a diverse array of mathematical results, techniques and applications. The book promises to be especially rewarding for readers with an interest in the focus areas of applied linear algebra, probability and statistics.
Editors and Affiliations
About the editors
Ravindra B. Bapat is Visiting Professor at the Indian Statistical Institute, Delhi Center, New Delhi, India, where he earlier served for more than 35 years. He is also Adjunct Professor at the Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India. On the editorial board of the Indian Statistical Institute Series (a Springer book series), he is on the editorial board of several journals including Linear and Multilinear Algebra, AKCE International Journal of Graphs and Combinatorics, The Electronic Journal of Linear Algebra, and Indian Journal of Pure and Applied Mathematics. A contributor of more than 150 research articles, he has authored books, Linear Algebra and Linear Models (Springer, 2012) and Graphs and Matrices (Springer, 2010).
Manjunatha Prasad Karantha is Professor and Coordinator of the Center for Advanced Research in Applied Mathematics and Statistics at the Manipal Academy of Higher Education, Manipal, Karnataka, India. His research interests are in matrices over rings, generalized inverses, and matrix methods in graphs. He is on the editorial board of several reputed journals, published several research articles, and edited several books and special issues dedicated to the International Conference on Linear Algebra and its Applications series of conferences in reputed journals.
Stephen Kirkland is Professor at the Department of Mathematics and Associate Dean of the Faculty of Graduate Studies at the University of Manitoba, Canada. His research interests include non-negative matrix theory, spectral graph theory, and combinatorial matrix theory. For more than six years, he served as President of the International Linear Algebra Society. Besides being Editor-in-Chief of the Linear and Multilinear Algebra journal, he has been serving on editorial boards of journals, Linear Algebra and its Applications and the Electronic Journal of Linear Algebra.
S. K. Neogy is Professor at the Indian Statistical Institute and Head of its Delhi Center. He obtained his Ph.D. from the same institute, and his primary areas of research are mathematical programming, special matrices, and game theory. He is Co-editor of several books and special issues of several journals.
Sukanta Pati is Professor at the Indian Institute of Technology Guwahati, Assam, India. His research interests are in matrices in graphs. He is also on the editorial board of journals, Linear Multilinear Algebra, The Mathematics Student and Mathematics Newsletter.
Simo Puntanen is—after retirement—Visiting Researcher at Tampere University, Finland. He is Founding Member, with George P.H. Styan, of the International Workshop on Matrices and Statistics, held regularly from 1990 onwards. He is Co-author (with George P.H. Styan and Jarkko Isotalo) of the book, Matrix Tricks for Linear Statistical Models: Our Personal Top Twenty (Springer, 2011).
Bibliographic Information
Book Title: Applied Linear Algebra, Probability and Statistics
Book Subtitle: A Volume in Honour of C. R. Rao and Arbind K. Lal
Editors: Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati, Simo Puntanen
Series Title: Indian Statistical Institute Series
DOI: https://doi.org/10.1007/978-981-99-2310-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-2309-0Published: 01 August 2023
Softcover ISBN: 978-981-99-2312-0Due: 11 September 2023
eBook ISBN: 978-981-99-2310-6Published: 31 July 2023
Series ISSN: 2523-3114
Series E-ISSN: 2523-3122
Edition Number: 1
Number of Pages: XXVII, 525
Number of Illustrations: 62 b/w illustrations, 31 illustrations in colour
Topics: Linear Algebra, Probability Theory and Stochastic Processes, Statistical Theory and Methods, Graph Theory, Game Theory, Economics, Social and Behav. Sciences, Game Theory, Economics, Social and Behav. Sciences