Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design | Agenda Bookshop Skip to content
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A01=Clint Scovel
A01=Houman Owhadi
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Author_Clint Scovel
Author_Houman Owhadi
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Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design

English

By (author): Clint Scovel Houman Owhadi

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. See more
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A01=Clint ScovelA01=Houman OwhadiAge Group_UncategorizedAuthor_Clint ScovelAuthor_Houman Owhadiautomatic-updateCategory1=Non-FictionCategory=PBKSCategory=PBTCategory=PBUDCategory=PBWCategory=UYACOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€100 and abovePS=ActiveSN=Cambridge Monographs on Applied and Computational Mathematicssoftlaunch
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Product Details
  • Weight: 1070g
  • Dimensions: 178 x 252mm
  • Publication Date: 24 Oct 2019
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781108484367

About Clint ScovelHouman Owhadi

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.

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