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Title: Final report on DOE ASCR Grant DESC0001862 (ER25894)

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.
Authors:
 [1] ;  [2]
  1. Univ of Maryland, ECE Dept
  2. Univ of Maryland, CS Dept
Publication Date:
OSTI Identifier:
1091383
Report Number(s):
ER25894
DOE Contract Number:
SC0001862
Resource Type:
Technical Report
Research Org:
University of Maryland
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS