Advanced Dynamically Adaptive Algorithms for Stochastic Simulations on Extreme Scales
- Purdue Univ., West Lafayette, IN (United States)
The focus of the project is the development of mathematical methods and high-performance com- putational tools for stochastic simulations, with a particular emphasis on computations on extreme scales. The core of the project revolves around the design of highly e cient and scalable numer- ical algorithms that can adaptively and accurately, in high dimensional spaces, resolve stochastic problems with limited smoothness, even containing discontinuities.
- Research Organization:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- SC0005173
- OSTI ID:
- 1258292
- Report Number(s):
- DOE-PU-0005173-1; 104857
- Country of Publication:
- United States
- Language:
- English
Similar Records
Advanced Dynamically Adaptive Algorithms for Stochastic Simulations on Extreme Scales
Extreme-Scale Bayesian Inference for Uncertainty Quantification of Complex Simulations
Fast, Dynamic, and Scalable Algorithms for Large-Scale Constrained Optimization
Technical Report
·
Fri Mar 03 00:00:00 EST 2017
·
OSTI ID:1258292
Extreme-Scale Bayesian Inference for Uncertainty Quantification of Complex Simulations
Technical Report
·
Fri Jan 12 00:00:00 EST 2018
·
OSTI ID:1258292
Fast, Dynamic, and Scalable Algorithms for Large-Scale Constrained Optimization
Technical Report
·
Tue Oct 08 00:00:00 EDT 2019
·
OSTI ID:1258292