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.
| ISBN: | 9780444530448 |
| Publication date: | 2nd March 2007 |
| Author: | Anatoli Torokhti, P G Howlett |
| Publisher: | Elsevier an imprint of Elsevier Science |
| Format: | Hardback |
| Pagination: | 284 pages |
| Series: | Mathematics in Science and Engineering |
| Genres: |
Calculus and mathematical analysis Algebra |
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.
Computational Methods for Modeling of Nonlinear Systems features in the following genres: Calculus and mathematical analysis, Algebra
Hardback. Not Available.
Computational Methods for Modeling of Nonlinear Systems was written by Anatoli Torokhti, P G Howlett and published by Elsevier an imprint of Elsevier Science
Computational Methods for Modeling of Nonlinear Systems has 284 pages
Yes it is part of Mathematics in Science and Engineering series