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the latter are better tuned for 'zeroing in' the local maximums. In that regard, is Simplex Method closer to SA, or Gradient-based methods?
Well, excuse me if I am completely off base, but as far as I am aware the simplex method is restricted to *linear* problems - where it is 'guaranteed' to find the optimial solution. Gradient based methods and
-- JDL
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