The best method for a many many variable optimization problem?

  1. I need to optimize a maximum likelihood function with many many variables (~10^2 variables). what is the faster method?
  2. jcsd
  3. It all depends on the function. Is it convex? Quadratic? And what sorts of constraints do you have? Equality? Inequality? Are they linear?
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