Amazon cover image
Image from Amazon.com

Numerical methods for nonlinear partial differential equations

By: Series: Springer Series in Computational Mathematics ; Vol. 47Publication details: Cham, Switzerland: Springer, 2015.Description: x, 393 p. hbk.: 24 cmISBN:
  • 9783319137964
Subject(s): DDC classification:
  • 515.353 BAR
Summary: The description of many interesting phenomena in science and engineering leads to infinite-dimensional minimization or evolution problems that define nonlinear partial differential equations. While the development and analysis of numerical methods for linear partial differential equations is nearly complete, only few results are available in the case of nonlinear equations. This monograph devises numerical methods for nonlinear model problems arising in the mathematical description of phase transitions, large bending problems, image processing, and inelastic material behavior. For each of these problems the underlying mathematical model is discussed, the essential analytical properties are explained, and the proposed numerical method is rigorously analyzed. The practicality of the algorithms is illustrated by means of short implementations. https://link.springer.com/book/10.1007/978-3-319-13797-1#overview
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

Includes Bibliographical References and Index

The description of many interesting phenomena in science and engineering leads to infinite-dimensional minimization or evolution problems that define nonlinear partial differential equations. While the development and analysis of numerical methods for linear partial differential equations is nearly complete, only few results are available in the case of nonlinear equations. This monograph devises numerical methods for nonlinear model problems arising in the mathematical description of phase transitions, large bending problems, image processing, and inelastic material behavior. For each of these problems the underlying mathematical model is discussed, the essential analytical properties are explained, and the proposed numerical method is rigorously analyzed. The practicality of the algorithms is illustrated by means of short implementations.

https://link.springer.com/book/10.1007/978-3-319-13797-1#overview

There are no comments on this title.

to post a comment.
Share


Copyright ©  2022 IIT Gandhinagar Library. All Rights Reserved.