Back to Results
First PageMeta Content
Econometrics / Measurement / Statistical inference / Statistical theory / Inverse problem / Monte Carlo method / Dimensional analysis / Markov chain Monte Carlo / Estimator / Statistics / Probability and statistics / Estimation theory


Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems M. Frangos, Y. Marzouk, K. Willcox, Massachusetts Institute of Technology; B. van Bloemen Waanders,
Add to Reading List

Document Date: 2010-09-23 10:19:58

Open Document

File Size: 684,18 KB

Share Result on Facebook

City

Krylov / /

Company

Sandia National Laboratories / Monte Carlo / XXXX John Wiley & Sons Ltd / John Wiley & Sons Ltd / /

Event

Force Majeure / /

Facility

Massachusetts Institute of Technology / /

IndustryTerm

science applications / fine-scale chain / adjoint solutions / porous media / control applications / inverse solution / state solutions / inverse problem applications / thermo-fluid systems / /

Organization

Massachusetts Institute of Technology / /

Person

Reagan / Martin / Cameron / /

Position

representative / General / Author /Editor / /

Product

tnt / /

ProgrammingLanguage

T / /

ProvinceOrState

Massachusetts / /

Technology

simulation / electrochemistry / /

SocialTag