Basic HTML version of Foils prepared 15 March 1996

Foil 60 MultiScale Methods in Parallel Data Decomposition

From Physical Optimization and Physical Computation CPSP713 Case studies in Computational Science -- Spring Semester 1996. by Geoffrey C. Fox
1 Parallel algorithms for
  • Genetic Algorithm
  • Simulated Annealing
  • Neural Networks
  • Are not "trivial"
  • Are not identical to sequential algorithms
2 Large problems (the "real world") require multiscale algorithms just as multigrid is faster than Gauss Seidel for large P.D.E.'s (take --> log Nnode, d=2,3)
in Table To:

Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu

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