Luis Tenorio – författare
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5 produkter
Large-Scale Inverse Problems and Quantification of Uncertainty
Av Youssef Marzouk, Karen Willcox m. fl.
E-bok, 2010
1874 kr
Lägg i varukorg
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 …
Large-Scale Inverse Problems and Quantification of Uncertainty
Av Lorenz Biegler, George Biros m. fl.
Inbunden, 2010
1611 kr
Lägg i varukorg
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 …
Large-Scale Inverse Problems and Quantification of Uncertainty
Av Youssef Marzouk, Karen Willcox m. fl.
E-bok, 2011
1874 kr
Lägg i varukorg
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 …
Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems
Av Luis Tenorio
Häftad, 2017
900 kr
Lägg i varukorg
Inverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is to recover an object from noisy, usually indirect observations. Solutions to inverse problems are subject to many potential sources of error …
Large–Scale Inverse Problems and Quantification of Uncertainty
Av Lorenz Biegler, George Biros m. fl.
2010
1274 kr
Tillfälligt slut
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 …