Basic HTML version of Foils prepared 15 March 1996

Foil 75 Comparison of Physical Optimization Methods

From Complex Systems and Parallel Computing CPSP713 Case studies in Computational Science -- Spring Semester 1996. by Geoffrey C. Fox
Simulated annealing: find y(T) by Monte Carlo as mean over configurations at that temperature
Neural networks: y is discrete. Find y by mean field approximation
Elastic net: y is discrete, but use improved mean field including some or all constraints
Deterministic annealing: leave important y out of sum S. Find by simple iterative optimization

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

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