Computational Methods for Modeling of Nonlinear Systems (Mathematics in Science and Engineering)

Anatoli Torokhti

ISBN 10: 0120463504 / ISBN 13: 9780120463503

Verlag: Elsevier Science, 1971

Beschreibung

tight clean hardback with moderately worn dust wrapper, free of annotations - Sent from Scotland by Royal Mail, all international orders by PRIORITY AIR-MAIL. all books carefully packed. Bestandsnummer des Verkäufers bb3680

Bibliografische Details

Titel: Computational Methods for Modeling of ...

Verlag: Elsevier Science

Erscheinungsdatum: 1971

Einband: Hardcover

Zustand: Very Good

Art des Buches: Book

Über diesen Titel

Inhaltsangabe:

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. This book covers: best operator approximation, non-Lagrange interpolation, generic Karhunen-Loeve transform; generalised low-rank matrix approximation, optimal data compression, and optimal nonlinear filtering.

Reseña del editor:

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