Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design: ... Computational Mathematics, Series Number 35) - Tapa dura
Sinopsis
Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca de los autores
Houman Owhadi is Professor of Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the California Institute of Technology. He is one of the main editors of the Handbook of Uncertainty Quantification (2016). His research interests concern the exploration of interplays between numerical approximation, statistical inference and learning from a game theoretic perspective, especially the facilitation/automation possibilities emerging from these interplays.
Clint Scovel is a Research Associate in the Computing and Mathematical Sciences department at the California Institute of Technology, after a twenty-six-year career at Los Alamos National Laboratory, including foundational research in symplectic algorithms and machine learning. He received his Ph.D. in mathematics from the Courant Institute of Mathematics at New York University in 1983. He currently works on uncertainty quantification, Bayesian methods, incorporating computational complexity in Wald's statistical decision theory, operator adapted wavelets and fast solvers.
"Sobre este título" puede pertenecer a otra edición de este libro.
Resultados de la búsqueda para Operator-Adapted Wavelets, Fast Solvers, and Numerical...
Imagen de archivo
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
Publicado por
Cambridge University Press, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FM-9781108484367
Comprar nuevo
EUR 177,39
EUR 7,71 shipping
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 5 disponibles
Imagen de archivo
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization (Hardcover)
Publicado por
Cambridge University Press, Cambridge, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. Although numerical approximation and statistical inference are traditionally covered as entirely separate subjects, they are intimately connected through the common purpose of making estimations with partial information. This book explores these connections from a game and decision theoretic perspective, showing how they constitute a pathway to developing simple and general methods for solving fundamental problems in both areas. It illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, fast solvers, and Gaussian processes. This perspective reveals much of their essential anatomy and greatly facilitates advances in these areas, thereby appearing to establish a general principle for guiding the process of scientific discovery. This book is designed for graduate students, researchers, and engineers in mathematics, applied mathematics, and computer science, and particularly researchers interested in drawing on and developing this interface between approximation, inference, and learning. This book, meant for graduate students and researchers, explores the connections between numerical approximation and statistical inference from a game and decision theoretic perspective, and illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, and fast solvers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781108484367
Comprar nuevo
EUR 187,80
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
Publicado por
Cambridge University Press, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FM-9781108484367
Comprar nuevo
EUR 187,81
Gastos de envío gratis
Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
Cantidad disponible: 5 disponibles
Imagen de archivo
Operator-adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Brand New. 497 pages. 10.00x6.75x1.00 inches. In Stock. Nº de ref. del artículo: __1108484360
Comprar nuevo
EUR 191,60
EUR 17,11 shipping
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen del vendedor
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization (Hardcover)
Publicado por
Cambridge University Press, Cambridge, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. Although numerical approximation and statistical inference are traditionally covered as entirely separate subjects, they are intimately connected through the common purpose of making estimations with partial information. This book explores these connections from a game and decision theoretic perspective, showing how they constitute a pathway to developing simple and general methods for solving fundamental problems in both areas. It illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, fast solvers, and Gaussian processes. This perspective reveals much of their essential anatomy and greatly facilitates advances in these areas, thereby appearing to establish a general principle for guiding the process of scientific discovery. This book is designed for graduate students, researchers, and engineers in mathematics, applied mathematics, and computer science, and particularly researchers interested in drawing on and developing this interface between approximation, inference, and learning. This book, meant for graduate students and researchers, explores the connections between numerical approximation and statistical inference from a game and decision theoretic perspective, and illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, and fast solvers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781108484367
Comprar nuevo
EUR 185,63
EUR 42,21 shipping
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen de archivo
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design . Computational Mathematics, Series Number 35)
Publicado por
Cambridge University Press, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA80011084843606
Comprar nuevo
EUR 202,09
EUR 28,52 shipping
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen del vendedor
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Gebunden. Condición: New. Über den AutorHouman Owhadi is Professor of Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the California Institute of Technology. He is one of the ma. Nº de ref. del artículo: 274017992
Comprar nuevo
EUR 187,56
EUR 48,99 shipping
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen del vendedor
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization (Hardcover)
Publicado por
Cambridge University Press, Cambridge, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. Although numerical approximation and statistical inference are traditionally covered as entirely separate subjects, they are intimately connected through the common purpose of making estimations with partial information. This book explores these connections from a game and decision theoretic perspective, showing how they constitute a pathway to developing simple and general methods for solving fundamental problems in both areas. It illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, fast solvers, and Gaussian processes. This perspective reveals much of their essential anatomy and greatly facilitates advances in these areas, thereby appearing to establish a general principle for guiding the process of scientific discovery. This book is designed for graduate students, researchers, and engineers in mathematics, applied mathematics, and computer science, and particularly researchers interested in drawing on and developing this interface between approximation, inference, and learning. This book, meant for graduate students and researchers, explores the connections between numerical approximation and statistical inference from a game and decision theoretic perspective, and illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, and fast solvers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781108484367
Comprar nuevo
EUR 288,66
EUR 31,52 shipping
Se envía de Australia a Estados Unidos de America
Se envía de Australia a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen del vendedor
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization : From a Game Theoretic Approach to Numerical Approximation and Algorithm Design
Publicado por
Cambridge University Press Okt 2019, 2019
ISBN 10: 1108484360
ISBN 13: 9781108484367
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware - Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems. Nº de ref. del artículo: 9781108484367
Comprar nuevo
EUR 262,11
EUR 65,39 shipping
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 1 disponibles