Numerical and Symbolic Scientific Computing (Paperback)

Ulrich Langer

ISBN 10: 3709107938 / ISBN 13: 9783709107935

Published by Springer Verlag GmbH, Vienna, 2011

About this Item

Paperback. The book presents the state of the art and results and also includes articles pointing to future developments. Most of the articles center around the theme of linear partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite element methods, a symbolic approach to finite difference schemes, cylindrical algebraic decomposition and local Fourier analysis, and white noise analysis for stochastic partial differential equations. Further numerical-symbolic topics range from applied and computational geometry to computer algebra methods used for total variation energy minimization. Focusing on linear partial differential equations, this volume presents a state-of-the-art overview of numerical and symbolic scientific computing. Topics include solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783709107935

Bibliographic Details

• Title: Numerical and Symbolic Scientific Computing (Paperback)
• Publisher: Springer Verlag GmbH, Vienna
• Publication Date: 2011
• Language: English
• ISBN 10: 3709107938
• ISBN 13: 9783709107935
• Binding: Paperback
• Condition: new

About this title

Synopsis

The book presents the state of the art and results and also includes articles pointing to future developments. Most of the articles center around the theme of linear partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite element methods, a symbolic approach to finite difference schemes, cylindrical algebraic decomposition and local Fourier analysis, and white noise analysis for stochastic partial differential equations. Further numerical-symbolic topics range from applied and computational geometry to computer algebra methods used for total variation energy minimization.

From the Back Cover

The book presents the state of the art, new results, and it also includes articles pointing to future developments. Most of the articles center around the theme of partial differential equations. Major aspects are fast solvers in elastoplasticity, symbolic analysis for boundary problems, symbolic treatment of operators, computer algebra, and finite element methods, a symbolic approach to finite difference schemes, cylindrical algebraic decomposition and local Fourier analysis, and white noise analysis for stochastic partial differential equations. Further numerical-symbolic topics range from applied and computational geometry to computer algebra methods used for total variation energy minimization.