<--- Back to Details
First PageDocument Content
Knowledge / Scientific modeling / Computational chemistry / Molecular dynamics / Molecular modelling / Uncertainty / Sensitivity analysis / Plasma / Collision / Science / Physics / Measurement
Date: 2014-06-11 11:54:09
Knowledge
Scientific modeling
Computational chemistry
Molecular dynamics
Molecular modelling
Uncertainty
Sensitivity analysis
Plasma
Collision
Science
Physics
Measurement

Sensitivity, Error and Uncertainty Quantification:  Interfacing Models at Different Scales  Predrag S Krstic  Institute for Advanced Computational Science, Stony Brook University, NY 11790   

Add to Reading List

Source URL: www.cfa.harvard.edu

Download Document from Source Website

File Size: 85,38 KB

Share Document on Facebook

Similar Documents

Lipschitz Robustness of Finite-state Transducers Thomas A. Henzinger, Jan Otop, Roopsha Samanta IST Austria Abstract We investigate the problem of checking if a finite-state transducer is robust to uncertainty in

Lipschitz Robustness of Finite-state Transducers Thomas A. Henzinger, Jan Otop, Roopsha Samanta IST Austria Abstract We investigate the problem of checking if a finite-state transducer is robust to uncertainty in

DocID: 1xW24 - View Document

Extended Abstract: Risk-Sensitive Planning with Dynamic Uncertainty Liana Marinescu Department of Informatics, King’s College London

Extended Abstract: Risk-Sensitive Planning with Dynamic Uncertainty Liana Marinescu Department of Informatics, King’s College London

DocID: 1xVZm - View Document

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay Abstract—Understanding and accounting for uncertainty is critical to effective

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay Abstract—Understanding and accounting for uncertainty is critical to effective

DocID: 1xVWY - View Document

Quantifying information and uncertainty Alexander Frankel and Emir Kamenica∗ University of Chicago JuneAbstract

Quantifying information and uncertainty Alexander Frankel and Emir Kamenica∗ University of Chicago JuneAbstract

DocID: 1xVoE - View Document

Planning Under Uncertainty with Temporally Extended Goals Alberto Camacho ∗ Department of Computer Science University of Toronto. Canada.

Planning Under Uncertainty with Temporally Extended Goals Alberto Camacho ∗ Department of Computer Science University of Toronto. Canada.

DocID: 1xV65 - View Document