Numerical Methods for Singularly Perturbed Differential Equations with Applications

Abstract

During this one-year project, we continued our research on the development, analysis, and application of serial and parallel adaptive computational strategies for solving transient and steady partial differential systems. We concentrated on high-order methods and adaptive approaches that unite mesh refinement and coarsening (h-refinement), order variation (p- refinement), and mesh motion (r-refinement). Parallel computational techniques involved load-balancing and load-redistribution strategies for implementing these adaptive methods on distributed-memory MIMD computers. In particular, we have developed migration strategies that exchange finite elements between neighboring spatial domains of different processors. Effective load balancing in an adaptive setting requires speedy procedures since balancing must be performed frequently. Migration offers several advantages in this regard since it (i) has a low unit cost, (ii) can take advantage of locality, and (iii) can improve communications volumes. Procedures tested in two dimensional situations are being extended to three dimensions and preliminary methods, Singularly perturbed equations, Partial differential equations, Parallel computation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 20, 1994
Accession Number
ADA285209

Entities

People

  • J. E. Flaherty

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Ceramic Matrix Composites
  • Chemical Reactions
  • Composite Material Fabrication
  • Composite Materials
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Computers
  • Differential Equations
  • Equations
  • Fabrication
  • Finite Element Analysis
  • Materials
  • Materials Processing
  • Mathematics
  • Partial Differential Equations
  • Two Dimensional

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Parallel and Distributed Computing.
  • Systems Analysis and Design