4 edition of **Computational methods in partial differential equations** found in the catalog.

- 377 Want to read
- 19 Currently reading

Published
**1969** by J. Wiley in London, New York .

Written in English

- Differential equations, Partial -- Numerical solutions.

**Edition Notes**

Bibliography: p. [249]-251.

Statement | [by] A. R. Mitchell. |

Series | Introductory mathematics for scientists and engineers |

Classifications | |
---|---|

LC Classifications | QA374 .M68 |

The Physical Object | |

Pagination | xiii, 255 p. |

Number of Pages | 255 |

ID Numbers | |

Open Library | OL5695443M |

ISBN 10 | 0471610909 |

LC Control Number | 70088241 |

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Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging, depending on the type of equation, the number of.

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The subject of partial differential equations holds an exciting and special position in mathematics. Partial differential equations were not consciously created as a subject but emerged in the 18th century as ordinary differential equations failed to describe the physical principles being studied.

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Computational methods in partial differential equations. London, New York, J. Wiley [©] (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: A R Mitchell.

Description: This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state. Finite difference methods are introduced and analyzed in the first four chapters, and finite element methods are studied in chapter five.

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About the Book. Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods.

The solution of PDEs can be very challenging, depending on the type of equation, the. Adaptive Computational Methods for Parabolic Problems This chapter presents an overview of partial differential equations (PDEs) for modelling distributed systems.

Introduction In the late. Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging, depending on the type of equation, the number of independent variables, the boundary, and initial.

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Experimentation based on numerical simulation has become fundamental in engineering and many of the traditional sciences. A common feature of mathematical models in physics, geology, astrophysics, mechanics, geophysics, as weH as in most engineering disciplines, is the ap pearance of systems of partial differential equations (PDEs).

The major difficulty when developing programs for numerical solution of partial differential equations is to debug and verify the implementation. This requires an interplay between understanding the mathematical model,the in volved numerics, and the programming tools.

Written for students in computational science and engineering, this book introduces several numerical methods for solving various partial differential equations.

The text covers traditional techniques, such as the classic finite difference method and the finite element method, as well as state-of-the-art numerical methods, such as the high. With its careful balance of mathematics and meaningful applications, Green's Functions and Boundary Value Problems, Third Edition is an excellent book for courses on applied analysis and boundary value problems in partial differential equations at the graduate level.

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