Zeju sun (11 resultados)

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa dura
Librería: Goodbooks Company, Springdale, AR, Estados Unidos de AmericaGoodbooks Company
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Regular
EUR 62,22
Envío por EUR 4,37Se envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: acceptable. This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a us…ed book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 65,15
Envío por EUR 3,49Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa blanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 63,74
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa blanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 63,70
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa dura
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 112,52
Envío por EUR 3,49Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.

- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,55
Envío por EUR 63,84Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. It is tailored to meet the needs of a diverse readership, including mathematically inclined engineers…and scientists at both graduate and post-graduate levels. What sets this book apart from other treatments of the topic is twofold. Firstly, it offers a complete treatment of filtering theory, providing readers with a thorough understanding of the subject. Secondly, it introduces updated methodologies and applications that are crucial in today's landscape. These include finite-dimensional filters, the Yau-Yau algorithm, direct methods, and the integration of deep learning with filtering problems. The book will be an invaluable resource for researchers and practitioners for years to come.With a rich historical backdrop dating back to Gauss and Wiener, the exposition delves into the fundamental principles underpinning the estimation of stochastic processes amidst noisy observations-a critical tool in various applied domains such as aircraft navigation, solar mapping, and orbit determination, to name just a few. Substantive exercises and examples given in each chapter provide the reader with opportunities to appreciate applications and ample ways to test their understanding of the topics covered.An especially nice feature for those studying the subject independent of a traditional course setting is the inclusion of solutions to exercises at the end of the book.The book is structured into three cohesive parts, each designed to build the reader's understanding of nonlinear filtering theory. In the first part, foundational concepts from probability theory, stochastic processes, stochastic differential equations, and optimization are introduced, providing readers with the necessary mathematical background. The second part delves into theoretical aspects of filtering theory, covering topics such as the stochastic partial differential equation governing the posterior density function of the state, and the estimation algebra theory of systems with finite-dimensional filters. Moving forward, the third part of the book explores numerical algorithms for solving filtering problems, including the Yau-Yau algorithm, direct methods, classical filtering algorithms like the particle filter, and the intersection of filtering theory with deep learning.

- Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 79,75
Envío por EUR 64,63Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. It is tailored to meet the needs of a diverse readership, including mathematically inclined engineers and sci…entists at both graduate and post-graduate levels. What sets this book apart from other treatments of the topic is twofold. Firstly, it offers a complete treatment of filtering theory, providing readers with a thorough understanding of the subject. Secondly, it introduces updated methodologies and applications that are crucial in today's landscape. These include finite-dimensional filters, the Yau-Yau algorithm, direct methods, and the integration of deep learning with filtering problems. The book will be an invaluable resource for researchers and practitioners for years to come.With a rich historical backdrop dating back to Gauss and Wiener, the exposition delves into the fundamental principles underpinning the estimation of stochastic processes amidst noisy observations-a critical tool in various applied domains such as aircraft navigation, solar mapping, and orbit determination, to name just a few. Substantive exercises and examples given in each chapter provide the reader with opportunities to appreciate applications and ample ways to test their understanding of the topics covered.An especially nice feature for those studying the subject independent of a traditional course setting is the inclusion of solutions to exercises at the end of the book.The book is structured into three cohesive parts, each designed to build the reader's understanding of nonlinear filtering theory. In the first part, foundational concepts from probability theory, stochastic processes, stochastic differential equations, and optimization are introduced, providing readers with the necessary mathematical background. The second part delves into theoretical aspects of filtering theory, covering topics such as the stochastic partial differential equation governing the posterior density function of the state, and the estimation algebra theory of systems with finite-dimensional filters. Moving forward, the third part of the book explores numerical algorithms for solving filtering problems, including the Yau-Yau algorithm, direct methods, classical filtering algorithms like the particle filter, and the intersection of filtering theory with deep learning.

Principles of Nonlinear Filtering Theory
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 47,23
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Principles of Nonlinear Filtering Theory
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa dura
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 64,33
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa dura
- Impresión bajo demanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 114,52
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.

Principles of Nonlinear Filtering Theory (Algorithms and Computation in Mathematics, 33)
Yau, Stephen S.-T.; Chen, Xiuqiong; Jiao, Xiaopei; Kang, Jiayi; Sun, Zeju; Tao, Yangtianze
- Tapa dura
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 113,06
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.