Large-Scale Inverse Problems and Quantification of Uncertainty (Wiley Series in Computational Statistics)

by David Keyes (Editor), Lorenz Biegler (Editor), George Biros (Editor), OmarGhattas (Editor), Matthias Heinkenschloss (Editor), Bani Mallick (Editor), Luis Tenorio (Editor), Bartvan Bloemen Waanders (Editor), KarenWillcox (Editor), YoussefMarzouk (Editor)

• New

  Hardcover
  2010

  $135.92

  This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems.