A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.
This book offers a practical presentation of stochastic partial differential equations arising in physical applications and their numerical approximation.
A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.
This book offers a practical presentation of stochastic partial differential equations arising in physical applications and their numerical approximation.
An introduction to hyperbolic PDEs and a class of numerical methods for approximating their solution, including both linear problems and nonlinear conservation laws.
An extensively updated second edition including new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients.