Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Applied Linear Algebra, Probability and Statistics -

Applied Linear Algebra, Probability and Statistics (eBook)

A Volume in Honour of C. R. Rao and Arbind K. Lal
eBook Download: PDF
2023 | 2023
XXVII, 525 Seiten
Springer Nature Singapore (Verlag)
978-981-99-2310-6 (ISBN)
Systemvoraussetzungen
139,09 inkl. MwSt
(CHF 135,85)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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.




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 AlgebraAKCE International Journal of Graphs and CombinatoricsThe 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 AlgebraThe 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). 



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.
Erscheint lt. Verlag 31.7.2023
Reihe/Serie Indian Statistical Institute Series
Indian Statistical Institute Series
Zusatzinfo XXVII, 525 p. 93 illus., 31 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Graphentheorie
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Game Theory • graph theory • linear algebra • matrix theory • Multilinear Algebra • Probability Theory • Statistical Theory and Methods • Stochastic Processes
ISBN-10 981-99-2310-7 / 9819923107
ISBN-13 978-981-99-2310-6 / 9789819923106
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 7,4 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich