Commit 4fa32903 authored by Davis King's avatar Davis King

clarified docs

parent 4d0b2035
......@@ -263,20 +263,19 @@ int main() try
// Finally, let's try the find_max_global() routine. Like
// find_max_bobyqa(), this is a technique specially designed to maximize
// a function in the absence of derivative information. However, it is
// also designed to handle functions with many local optima. Where
// BOBYQA would get stuck at the nearest local optima, find_max_global()
// won't. find_max_global() uses a global optimization method based on a
// combination of non-parametric global function modeling and BOBYQA
// style quadratic trust region modeling to efficiently find a global
// maximizer. It usually does a good job with a relatively small number
// of calls to the function being optimized.
// Finally, let's try the find_max_global() routine. Like find_min_bobyqa(),
// this technique is specially designed to optimize a function in the absence
// of derivative information. However, it is also designed to handle
// functions with many local optima. Where BOBYQA would get stuck at the
// nearest local optima, find_max_global() won't. find_max_global() uses a
// global optimization method based on a combination of non-parametric global
// function modeling and BOBYQA style quadratic trust region modeling to
// efficiently find a global maximizer. It usually does a good job with a
// relatively small number of calls to the function being optimized.
//
// You also don't have to give it a starting point or set any parameters,
// other than defining the bounds constraints. This makes it the method
// of choice for derivative free optimization in the presence of local
// other than defining bounds constraints. This makes it the method of
// choice for derivative free optimization in the presence of multiple local
// optima. Its API also allows you to define functions that take a
// column_vector as shown above or to explicitly use named doubles as
// arguments, which we do here.
......
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