A Multifaceted Mathematical Approach for Complex Systems Metadata

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Title

  • Main Title A Multifaceted Mathematical Approach for Complex Systems

Creator

  • Author: Alexander, F.
    Creator Type: Personal
  • Author: Anitescu, M.
    Creator Type: Personal
  • Author: Bell, J.
    Creator Type: Personal
  • Author: Brown, D.
    Creator Type: Personal
  • Author: Ferris, M.
    Creator Type: Personal
  • Author: Luskin, M.
    Creator Type: Personal
  • Author: Mehrotra, S.
    Creator Type: Personal
  • Author: Moser, B.
    Creator Type: Personal
  • Author: Pinar, A.
    Creator Type: Personal
  • Author: Tartakovsky, A.
    Creator Type: Personal
  • Author: Willcox, K.
    Creator Type: Personal
  • Author: Wright, S.
    Creator Type: Personal
  • Author: Zavala, V.
    Creator Type: Personal

Contributor

  • Sponsor: Lawrence Berkeley National Laboratory. Computational Research Division.
    Contributor Type: Organization

Publisher

  • Name: Lawrence Berkeley National Laboratory
    Place of Publication: Berkeley, California
    Additional Info: Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (United States)

Date

  • Creation: 2012-03-07

Language

  • English

Description

  • Content Description: 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.
  • Physical Description: 38

Subject

  • Keyword: Applied Mathematics, Complex Systems, Modeling, Optimization, Stochastic Systems, Data Integration
  • STI Subject Categories: 97 Mathematics And Computing Applied Mathematics, Complex Systems, Modeling, Optimization, Stochastic Systems, Data Integration

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Report No.: LBNL-5430E
  • Grant Number: DE-AC02-05CH11231
  • DOI: 10.2172/1093585
  • Office of Scientific & Technical Information Report Number: 1093585
  • Archival Resource Key: ark:/67531/metadc828819
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