Applied Numerical Mathematics

Applied and Industrial Mathematics, Venice—2, 1998: Selected Papers from the ‘Venice—2/Symposium on Applied and Industrial Math

Applied and Industrial Mathematics, Venice—2, 1998: Selected Papers from the ‘Venice—2/Symposium on Applied and Industrial Mathematics’, June 11–16, 1998, Venice, Italy By Marco Avellaneda, Robert Buff, Craig Friedman, Nicolas Grandchamp, Lukasz Kruk (auth.), Renato Spigler (eds.)
2000 | 304 Pages | ISBN: 9401058237 | PDF | 11 MB

Numerical Methods for Structured Markov Chains  eBooks & eLearning

Posted by DZ123 at July 15, 2019
Numerical Methods for Structured Markov Chains

Dario A. Bini, Guy Latouche, Beatrice Meini, "Numerical Methods for Structured Markov Chains"
English | 2005 | ISBN: 0198527683 | PDF | pages: 340 | 1.9 mb

Differential Equations and Their Applications: An Introduction to Applied Mathematics  eBooks & eLearning

Posted by AvaxGenius at March 11, 2022
Differential Equations and Their Applications: An Introduction to Applied Mathematics

Differential Equations and Their Applications: An Introduction to Applied Mathematics by Martin Braun
English | PDF | 1993 | 595 Pages | ISBN : 0387978941 | 39.5 MB

There are two major changes in the Fourth Edition of Differential Equations and Their Applications. The first concerns the computer programs in this text. In keeping with recent trends in computer science, we have replaced all the APL programs with Pascal and C programs. The Pascal programs appear in the text in place of the APL programs, where they are followed by the Fortran programs, while the C programs appear in Appendix C.
Numerical Analysis and Scientific Computation (Textbooks in Mathematics), 2nd Edition

Numerical Analysis and Scientific Computation (Textbooks in Mathematics) 2nd Edition by Jeffery J. Leader
2022 | ISBN: 0367486865 | English | 582 pages | PDF | 11 MB

A Course on Integral Equations (Texts in Applied Mathematics)(Repost)  eBooks & eLearning

Posted by Nice_smile) at Feb. 13, 2017
A Course on Integral Equations (Texts in Applied Mathematics)(Repost)

A Course on Integral Equations (Texts in Applied Mathematics) by Allen C. Pipkin
English | 1991 | ISBN: 1461287731 | 268 Pages | DJVU | 1.71 MB
Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences)

Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences) by Zhongqiang Zhang
English | 3 Oct. 2017 | ISBN: 3319575104 | 412 Pages | PDF | 3.72 MB

This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation.

Elements of Numerical Analysis with Mathematica  eBooks & eLearning

Posted by Grev27 at Jan. 7, 2018
Elements of Numerical Analysis with Mathematica

John Loustau, "Elements of Numerical Analysis with Mathematica"
English | ISBN: 9813224150, 9813222719 | 2017 | EPUB | 164 pages | 5,3 MB
Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences)

Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences) by Zhongqiang Zhang
English | 3 Oct. 2017 | ISBN: 3319575104 | 412 Pages | PDF | 3.72 MB

This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. The book begins with some motivational and background
Applied Differential Equations: The Primary Course (Textbooks in Mathematics), 2nd Edition

Applied Differential Equations: The Primary Course: Second Edition
by Vladimir A. Dobrushkin

English | 2022 | ISBN: 1138606588 | 706 pages | True PDF | 53.34 MB

Applied Scientific Computing: With Python  eBooks & eLearning

Posted by AvaxGenius at July 19, 2018
Applied Scientific Computing: With Python

Applied Scientific Computing: With Python by Peter R. Turner
English | PDF,EPUB | 2018 | 280 Pages | ISBN : 3319895745 | 15.17 MB

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python.