Lorenz Biegler, Carnegie Mellon University, USA.
George Biros, Georgia Institute of Technology, USA.
Omar Ghattas, University of Texas at Austin, USA.
Matthias Heinkenschloss, Rice University, USA.
David Keyes, KAUST and Columbia University, USA.
Bani Mallick, Texas A&M University, USA.
Luis Tenorio, Colorado School of Mines, USA.
Bart van Bloemen Waanders, Sandia National Laboratories, USA.
Karen Wilcox, Massachusetts Institute of Technology, USA.
Youssef Marzouk, Massachusetts Institute of Technology, USA.
3 Ebooks par Omar Ghattas
Lorenz Biegler & George Biros: Large-Scale Inverse Problems and Quantification of Uncertainty
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 fo …
PDF
Anglais
DRM
€114.99
Lorenz Biegler & George Biros: Large-Scale Inverse Problems and Quantification of Uncertainty
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 fo …
EPUB
Anglais
DRM
€114.99
Lorenz T. Biegler & Omar Ghattas: Large-Scale PDE-Constrained Optimization
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 …
PDF
Anglais
DRM
€179.15