Elementary Partial Differential Equation

Differential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R

William E. Schiesser, "Differential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R"
English | ISBN: 1118705181 | 2014 | 344 pages | PDF | 2 MB
Solution Techniques for Elementary Partial Differential Equations, Second Edition

Christian Constanda, "Solution Techniques for Elementary Partial Differential Equations, Second Edition"
English | ISBN: 1439811393 | 2010 | 343 pages | PDF | 2 MB
Partial Differential Equation Analysis in Biomedical Engineering: Case Studies with Matlab

Partial Differential Equation Analysis in Biomedical Engineering: Case Studies with Matlab by William E. Schiesser
English | 2012 | ISBN: 1107022800 | ISBN-13: 9781107022805 | 430 pages | PDF | 4,3 MB

Aimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering.
Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB [Repost]

H. J. Lee, W. E. Schiesser - Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB
Published: 2003-11 | ISBN: 1584884231 | PDF | 528 pages | 3 MB
A Compendium of Partial Differential Equation Models: Method of Lines Analysis with Matlab (repost)

William E. Schiesser, Graham W. Griffiths, "A Compendium of Partial Differential Equation Models: Method of Lines Analysis with Matlab"
English | 2009-03-16 | ISBN: 0521519861 | 491 pages | PDF | 6.4 mb

A Compendium of Partial Differential Equation Models presents numerical methods and associated computer codes in Matlab for the solution of a spectrum of models expressed as partial differential equations (PDEs), one of the mostly widely used forms of mathematics in science and engineering.

Calculus for Cognitive Scientists: Partial Differential Equation Models  eBooks & eLearning

Posted by tukotikko at March 16, 2016
Calculus for Cognitive Scientists: Partial Differential Equation Models

Calculus for Cognitive Scientists: Partial Differential Equation Models By James K. Peterson
2016 | 568 Pages | ISBN: 9812878785 | PDF | 20 MB
Finite Difference Methods in Financial Engineering: A Partial Differential Equation Approach

Daniel J. Duffy, "Finite Difference Methods in Financial Engineering: A Partial Differential Equation Approach"
2006 | pages: 442 | ISBN: 0470858826 | PDF | 3,5 mb
Partial Differential Equation Analysis in Biomedical Engineering: Case Studies with Matlab (repost)

Partial Differential Equation Analysis in Biomedical Engineering: Case Studies with Matlab by William E. Schiesser
English | 2012 | ISBN: 1107022800 | ISBN-13: 9781107022805 | 430 pages | PDF | 4,3 MB
Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB by W.E. Schiesser [Repost]

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB by W.E. Schiesser
English | Nov 2003 | ISBN: 1584884231 | 515 Pages | PDF | 1 MB

This book provides a set of ODE/PDE integration routines in the six most widely used computer languages, enabling scientists and engineers to apply ODE/PDE analysis toward solving complex problems. This text concisely reviews integration algorithms, then analyzes the widely used Runge-Kutta method.
Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB [Repost]

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB by H. J. Lee
Chapman and Hall | Nov 01 2003 | ISBN: 1584884231 | Pages: 528 | PDF | 1.48 MB

This book provides a set of ODE/PDE integration routines in the six most widely used computer languages, enabling scientists and engineers to apply ODE/PDE analysis toward solving complex problems. This text concisely reviews integration algorithms, then analyzes the widely used Runge-Kutta method.