A good mathematical model of a physical situation leads to improved understanding. A good model must be robust and predictive, anticipating results that can be verified by experiment. This book shows engineers how to construct such models and how to solve them numerically, two enormously important tasks in practical engineering.
Introduction Models continuous and discrete The finite difference approach to discrete modelling Models based on distributed electromagnetic analogues Rule based models Probability based models Modelling methods involving non-Cartesian meshes Frequency domain models Some additional techniques Appendix. Mathematical fundamentals