Large Scale Function Minimization

Abstract

Several new optimization techniques suitable for parallel computers have been developed and have been tested on an Intel hypercube. On a number of nonlinear problems, the algorithms tested have demonstrated dramatic speed-ups over their sequential counterparts. The fact that these speedups are better than can be attributed to parallelism done suggest that they may lead to improved sequential methods.

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Document Details

Document Type
Technical Report
Publication Date
Oct 14, 1988
Accession Number
ADA207718

Entities

People

  • Stephen G. Nash

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Classification
  • Computations
  • Computer Science
  • Computers
  • Mathematical Programming
  • Mathematics
  • Operations Research
  • Optimization
  • Parallel Computing
  • Parallel Processing
  • Statistical Estimation
  • Statistics
  • Students
  • Universities

Readers

  • Materials Science (Mechanical Engineering).
  • Parallel and Distributed Computing.