Optimization-Based Modeling with Applications to Transport: Part 3. Computational Studies

  • Denis Ridzal
  • Joseph Young
  • Pavel Bochev
  • Kara Peterson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7116)


This paper is the final of three related articles that develop and demonstrate a new optimization-based framework for computational modeling. The framework uses optimization and control ideas to assemble and decompose multiphysics operators and to preserve their fundamental physical properties in the discretization process. One application of the framework is in the formulation of robust algorithms for optimization-based transport (OBT). Based on the theoretical foundations established in Part 1 and the optimization algorithm for the solution of the remap subproblem, derived in Part 2, this paper focuses on the application of OBT to a set of benchmark transport problems. Numerical comparisons with two other transport schemes based on incremental remapping, featuring flux-corrected remap and the linear reconstruction with van Leer limiting, respectively, demonstrate that OBT is a competitive transport algorithm.


Sandia National Laboratory Solid Body Rotation Transport Scheme Linear Reconstruction Fundamental Physical Property 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Denis Ridzal
    • 2
  • Joseph Young
    • 1
  • Pavel Bochev
    • 1
  • Kara Peterson
    • 1
  1. 1.Numerical Analysis and ApplicationsSandia National LaboratoriesAlbuquerqueUSA
  2. 2.Optimization and Uncertainty QuantificationSandia National LaboratoriesAlbuquerqueUSA

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