Stochastic Systems: Theory and Applications. Este artículo no está disponible.
Idioma: inglés
Editorial: World Scientific Publishing Comp, 2002
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N° de ref. del artículo mon0000001085
- Título
- Stochastic Systems: Theory and Applications
- Autor
- Pugachev, V S,Sinitsyn, Igor
- Editorial
- World Scientific Publishing Comp
- Año de publicación
- 2002
- Estado
- Very Good
- Encuadernación
- hardcover
- Idioma
- inglés
- ISBN 10
- 9810247427
- ISBN 13
- 9789810247423
This book presents the general theory and basic methods of linear and nonlinear stochastic systems (StS) i.e. dynamical systems described by stochastic finite- and infinite-dimensional differential, integral, integrodifferential, difference etc equations. The general StS theory is based on the equations for characteristic functions and functionals. The book outlines StS structural theory, including direct numerical methods, methods of normalization, equivalent linearization and parametrization of one- and multi-dimensional distributions, based on moments, quasimoments, semi-invariants and orthogonal expansions. Special attention is paid to methods based on canonical expansions and integral canonical representations. About 500 exercises and problems are provided. The authors also consider applications in mathematics and mechanics, physics and biology, control and information processing, operations research and finance.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This book presents the general theory and basic methods of linear and nonlinear stochastic systems (StS) i.e. dynamical systems described by stochastic finite- and infinite-dimensional differential, integral, integrodifferential, difference etc equations. The general StS theory is based on the equations for characteristic functions and functionals. The book outlines StS structural theory, including direct numerical methods, methods of normalization, equivalent linearization and parametrization of one- and multi-dimensional distributions, based on moments, quasimoments, semi-invariants and orthogonal expansions. Special attention is paid to methods based on canonical expansions and integral canonical representations. About 500 exercises and problems are provided. The authors also consider applications in mathematics and mechanics, physics and biology, control and information processing, operations research and finance.
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