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hIPPYlib: An Extensible Software Framework for Large-Scale Inverse
  Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized
  Bayesian Inference

hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference

9 September 2019
Umberto Villa
N. Petra
Omar Ghattas
ArXivPDFHTML

Papers citing "hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference"

4 / 4 papers shown
Title
A randomized maximum a posterior method for posterior sampling of high
  dimensional nonlinear Bayesian inverse problems
A randomized maximum a posterior method for posterior sampling of high dimensional nonlinear Bayesian inverse problems
Kainan Wang
T. Bui-Thanh
Omar Ghattas
28
46
0
11 Feb 2016
Fast Bayesian Optimal Experimental Design for Seismic Source Inversion
Fast Bayesian Optimal Experimental Design for Seismic Source Inversion
Q. Long
Mohammad Motamed
Raúl Tempone
31
51
0
27 Feb 2015
Scalable and efficient algorithms for the propagation of uncertainty
  from data through inference to prediction for large-scale problems, with
  application to flow of the Antarctic ice sheet
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet
T. Isaac
N. Petra
G. Stadler
Omar Ghattas
PINN
39
153
0
05 Oct 2014
Likelihood-informed dimension reduction for nonlinear inverse problems
Likelihood-informed dimension reduction for nonlinear inverse problems
Tiangang Cui
James Martin
Youssef M. Marzouk
A. Solonen
Alessio Spantini
55
158
0
19 Mar 2014
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