Nursing Skills for the Novices

Lectures on Matrix and Graph Methods Lectures on Matrix and Graph Methods portrays selected lectures delivered by leading Mathematicians and Statisticians in the International Workshop on Combinatorial Matrix Theory and Generalized Inverses of Matrices organized by Department of Statistics, Manipal University, Manipal, India, during January 2-7, 2012. This book covers the topics even beyond the traditional applications of matrix theory and spectral theory of graphs. Graph Theoretic Applications to Computing the Nucleolus of an Assignment Game by T E S Raghavan and Introduction to Yantra Magic Squares and Agrippa-type Magic Matrices by G P H Styan et al. are among those topics. Also, an interview with S K Mitra in 1993 by G P H Styan and Simo Puntanen is presented here.

Ravindra B Bapat, Steve Kirkland, K Manjunatha Prasad, Simo Puntanen Ravindra B Bapat is at the Indian Statistical Institute, Delhi Centre. His main areas of interest are combinatorial matrix theory, matrices and graphs, and generalized inverses. He is a Fellow of the Indian Academy of Sciences, Indian National Science Academy and a J C Bose Fellow. He served as the President of the Indian Mathematical Society during 2007-2008. Steve Kirkland is a Stokes Professor at the National University of Ireland Maynooth. His research interests include non-negative matrix theory, spectral graph theory, and combinatorial matrix theory. He is currently the Editor-in-chief of the journal ?Linear and Multilinear Algebra?, and the President of the International Linear Algebra Society. K Manjunatha Prasad earned his PhD from Indian Statistical Institute. Currently, he is a Professor of Mathematics at Department of Statistics, Manipal University, Manipal. His research interests are matrix theory, generalized inverse, ring theory and projective modules. Simo Puntanen earned his PhD in statistics from the University of Tampere (Finland) in 1987, where he is presently a Lecturer.

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Editors: N Udupa, Raviaraja NS, Chiranjay Mukhopadhya,

COVID-19 disease is caused by the SARS-CoV-2 virus, first detected in November-December 2019 in Wuhan, China. Thus far, more than 7 million people have been infected with the novel coronavirus across the globe, and the count is increasing with every passing day. Even though it causes severe respiratory problems, the majority of patients show mild symptoms, and pathogenesis is under investigation. Although several drugs are being developed and many of them are undergoing clinical trials, currently there are no approved drugs/vaccines to cure this disease. Personal hygiene and social distancing are important means to prevent the spread of this disease. With the advancements in scientific research, humankind is hoping to find a potent drug/vaccine for this disease at the earliest. The health care professionals and scientific community are at their maximum in combating this viral infection. In this book, an attempt is made to compile various aspects of COVID-19 in a single platform, which include aetiology, epidemiology, its clinical manifestations, diagnosis, pathological, clinical and therapeutic facets, comorbidities, risk factors, and the essential precautionary measures. This book comprises around 29 chapters contributed by various experts from research and clinical backgrounds.

Interested readers may write to us at mup@manipal.edu about purchasing the book.

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Linear Algebra with Applications portrays selected articles published earlier by Prof Ravindra B Bapat in various reputed journals. This volume published in honour of Prof Bapat, on the occasion of his 60th birthday, consists of his original research articles written in the area of (i) Permanent, Determinant and their applications, (ii) Non-negative Matrices, (iii) Matrix Methods in Statistics and Graph theory, and (iv) Generalized Inverses of a Matrix. Starting with an article A Generalization of a Theorem of Ky Fan on Simplicial Maps, his first article published in 1980, several articles probing the properties of permanent and determinant, characterization of generalized inverses, spectral properties of graphs, and applications of matrix methods in statistics are compiled in this volume. The articles selected in this book will certainly inspire the young linear algebraists and provide several matrix techniques to solve different problems in the area of applied linear algebra.