Omar Ghattas – författare
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7 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
1624 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 …
Real-Time PDE-Constrained Optimization
Av L. T. Biegler, O. Ghattas m. fl.
Häftad, 2007
1498 kr
Lägg i varukorg
Many engineering and scientific problems in design, control, and parameter estimation can be formulated as optimization problems that are governed by partial differential equations (PDEs). The complexities of the PDEs - and the requirement for rapid solution - pose significant difficulties. A …
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 …
Large-Scale PDE-Constrained Optimization
Av Lorenz T. Biegler, Omar Ghattas m. fl.
Häftad, 2003
1752 kr
Lägg i varukorg
Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary …
Large-Scale PDE-Constrained Optimization
Av Bart van Bloemen Waanders, Matthias Heinkenschloss m. fl.
E-bok, 2012
2274 kr
Lägg i varukorg
Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary …
Large–Scale Inverse Problems and Quantification of Uncertainty
Av Lorenz Biegler, George Biros m. fl.
2010
1285 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 …