The Leading eBooks Store Online 3,667,858 members ⚫ 1,180,414 ebooks

New to eBooks.com?

Learn more

Computational Methods for Modeling of Nonlinear Systems

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti
Add to cart
US$ 160.00
(If any tax is payable it will be calculated and shown at checkout.)
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering
Elsevier Science; April 2007
322 pages; ISBN 9780080475387
Read online, or download in secure EPUB or secure PDF format
Title: Computational Methods for Modeling of Nonlinear Systems
Author: Anatoli Torokhti; Phil Howlett