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Simulated annealing is not required for non-linear optimization. It's useful for non-convex optimization. Non-linear but convex problems are trivial to solve
by Fede_V 12y ago
Simulated annealing is not required for non-linear optimization. It's useful for non-convex optimization. Non-linear but convex problems are trivial to solve with Newton's method - a simple example is finding the weights of an SVM.
- tjl 12y agoTrue. But, in my case, I didn't know if it was convex. A small change of parameters could go from a feasible solution to an infeasible solution.