A Multifaceted Mathematical Approach for Complex Systems

Alexander, F. ; Anitescu, M. ; Bell, J. ; Brown, D. ; Ferris, M. ; Luskin, M. ; Mehrotra, S. ; Moser, B. ; Pinar, A. ; Tartakovsky, A. ; Willcox, K. ; Wright, S. ; Zavala, V.

关键词: applied mathematics;    complex systems;    modeling;    optimization;    stochastic systems;    data integration;   

DOI  :  10.2172/1093585
RP-ID  :  LBNL-5430E
PID  :  OSTI ID: 1093585

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

Applied mathematics has an important role to play in developing the tools needed for the analysis, simulation, and optimization of complex problems. These efforts require the development of the mathematical foundations for scientific discovery, engineering design, and risk analysis based on a sound integrated approach for the understanding of complex systems. However, maximizing the impact of applied mathematics on these challenges requires a novel perspective on approaching the mathematical enterprise. Previous reports that have surveyed the DOE's research needs in applied mathematics have played a key role in defining research directions with the community. Although these reports have had significant impact, accurately assessing current research needs requires an evaluation of today's challenges against the backdrop of recent advances in applied mathematics and computing. To address these needs, the DOE Applied Mathematics Program sponsored a Workshop for Mathematics for the Analysis, Simulation and Optimization of Complex Systems on September 13-14, 2011. The workshop had approximately 50 participants from both the national labs and academia. The goal of the workshop was to identify new research areas in applied mathematics that will complement and enhance the existing DOE ASCR Applied Mathematics Program efforts that are needed to address problems associated with complex systems. This report describes recommendations from the workshop and subsequent analysis of the workshop findings by the organizing committee.