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.
5 Ebooks de David Keyes
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
Inglés
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
Inglés
DRM
€114.99
Pavan Balaji & David Keyes: High Performance Computing
This book constitutes the refereed proceedings of the 32nd International Conference, ISC High Performance 2017, held in Frankfurt, Germany, in June 2017. The 22 revised full papers presented in this …
EPUB
Inglés
DRM
€57.78
David Keyes & Carsten Trinitis: High Performance Computing
This book constitutes the refereed proceedings of the 33rd International Conference, ISC High Performance 2018, held in Frankfurt, Germany, in June 2018.The 20 revised full papers presented in this b …
EPUB
Inglés
DRM
€57.91