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Exercises Of Numerical Calculus With Solutions In Matlab Octave(1st Edition)

Authors:

Stefano De Marchi ,Davide Poggiali

Free exercises of numerical calculus with solutions in matlab octave 1st edition stefano de marchi ,davide
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Book details

ISBN: 889864812X, 978-8898648122

Book publisher: Stefano De Marchi

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Exercises Of Numerical Calculus With Solutions In Matlab Octave 1st Edition Summary: This book collects exercises and exams, with the corresponding solutions, given by the authors at the Numerical Calculus course taught since the academic year 2006-07 for the degree in Mathematics and Computer Science, firstly at the University of Verona then at the University of Padova. Every exercise is followed by some hints and by its solution, except for some exercises that are left to the reader. All chapters contain a section of exercises On paper. Such exercises are intended to be done without a calculator but only with "pen and paper". This collection can be considered then as a training book. Therefore we suggest the readers to consult and examine other books of exercises and other didactic material available online and also at the web site of the first author.STEFANO DE MARCHI is full professor of Numerical Analysis at the Department of Mathematics “Tullio Levi-Civita” of the University of Padova. He is author and co-author of more than 120 scientific papers, many of them in approximation theory, multivariate polynomial interpolation, approximation by radial basis functions with applications to medical image reconstruction, rational interpolation and quasi Monte Carlo compression. He is one of the discoverers of the so called “Padua points”, which are the only set of quasi-optimal interpolation points explicitly known on the square, for polynomial interpolation of total degree. Recently his research his devoted to medical imaging. He is also author of the books Funzioni Splines Univariate (Forum, Ed. Universitaria Udinese, 2001), Introduzione di Calcolo Numerico (Esculapio Ed. Bologna, 3nd ed. 2018) and Meshfree Approximation for Multi-Asset European and American Option Problems (Aracne Ed. Roma, 2012).webpage: www.math.unipd.it/~demarchiLinkedIn: https://www.linkedin.com/in/stefano-de-marchi-05040920a/DAVIDE POGGIALI is researcher at BackEnd, R&D, FAR Networks. Was post-doc at the Department of Mathematics “Tullio Levi-Civita” – University of Padova. He received his PhD in Neurosciences at the University of Padova in 2017. He was collaborating with the research group on Multiple Sclerosis and to interdipartemental research group between Nuclear Medicine, Medical Physics and Mathematics. He is author of various paper in the most important journals of neurosciences and medical imaging.LinkedIn: https://www.linkedin.com/in/davidepoggiali/