Numerical Solutions for Partial Differential Equations
Problem Solving Using Mathematica
Nonfiction, Science & Nature, Mathematics, Number Systems, Differential Equations, Applied
| Author: | Victor Grigor'e Ganzha, Evgenii Vasilev Vorozhtsov | ISBN: | 9781351427500 |
| Publisher: | CRC Press | Publication: | November 22, 2017 |
| Imprint: | CRC Press | Language: | English |
| Author: | Victor Grigor'e Ganzha, Evgenii Vasilev Vorozhtsov |
| ISBN: | 9781351427500 |
| Publisher: | CRC Press |
| Publication: | November 22, 2017 |
| Imprint: | CRC Press |
| Language: | English |
Partial differential equations (PDEs) play an important role in the natural sciences and technology, because they describe the way systems (natural and other) behave. The inherent suitability of PDEs to characterizing the nature, motion, and evolution of systems, has led to their wide-ranging use in numerical models that are developed in order to analyze systems that are not otherwise easily studied. Numerical Solutions for Partial Differential Equations contains all the details necessary for the reader to understand the principles and applications of advanced numerical methods for solving PDEs. In addition, it shows how the modern computer system algebra Mathematica® can be used for the analytic investigation of such numerical properties as stability, approximation, and dispersion.
Partial differential equations (PDEs) play an important role in the natural sciences and technology, because they describe the way systems (natural and other) behave. The inherent suitability of PDEs to characterizing the nature, motion, and evolution of systems, has led to their wide-ranging use in numerical models that are developed in order to analyze systems that are not otherwise easily studied. Numerical Solutions for Partial Differential Equations contains all the details necessary for the reader to understand the principles and applications of advanced numerical methods for solving PDEs. In addition, it shows how the modern computer system algebra Mathematica® can be used for the analytic investigation of such numerical properties as stability, approximation, and dispersion.
