Final report on DOE ASCR Grant DESC0001862 (ER25894)
- Univ of Maryland, ECE Dept
- Univ of Maryland, CS Dept
As was outlined in the proposal, the overall objective of this project is to investigate advanced optimization algorithms for solving entropy maximization problems. Entropy maximization is a general tool for reconstructing the least biased estimate of the state of a complex system, based on available information. In transport and kinetic theory, entropy maximization is used to derive closures for moment models in order to reduce the complexity of a kinetic description while maintaining many of its fundamental features. Application areas include gas dynamics, charged-particle transport, thermal radiative transfer, and neutron transport. Some such applications are of prime importance to the Department of Energy.
- Research Organization:
- Univ. of Maryland, College Park, MD (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- SC0001862
- OSTI ID:
- 1091383
- Report Number(s):
- ER25894
- Country of Publication:
- United States
- Language:
- English
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