The nature of mathematical modeling
โ Scribed by Neil Gershenfeld
- Book ID
- 127456462
- Publisher
- Cambridge University Press
- Year
- 1999
- Tongue
- English
- Weight
- 2 MB
- Edition
- 1st
- Category
- Library
- City
- Cambridge; New York
- ISBN-13
- 9780521570954
No coin nor oath required. For personal study only.
โฆ Synopsis
This book first covers exact and approximate analytical techniques (ordinary differential and difference equations, partial differential equations, variational principles, stochastic processes); numerical methods (finite differences for ODE's and PDE's, finite elements, cellular automata); model inference based on observations (function fitting, data transforms, network architectures, search techniques, density estimation); as well as the special role of time in modeling (filtering and state estimation, hidden Markov processes, linear and nonlinear time series). Each of the topics in the book would be the worthy subject of a dedicated text, but only by presenting the material in this way is it possible to make so much material accessible to so many people. Each chapter presents a concise summary of the core results in an area, providing an orientation to what they can (and cannot) do, enough background to use them to solve typical problems, and pointers to access the literature for particular applications.
๐ SIMILAR VOLUMES
The causation space established in this book is a mathematical model of the random universe and a "living house" of all random tests and probability spaces. By using this space, one can introduce the mathematical calculation methods related to probability spaces and random tests. The book also point