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Minor cleanup
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// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
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/*
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This is an example illustrating the use the unconstrained optimization
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routines from the dlib C++ Library.
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This is an example illustrating the use the optimization routines from
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the dlib C++ Library.
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The library provides implementations of the conjugate gradient,
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BFGS, L-BFGS, and BOBYQA optimization algorithms. These algorithms allow
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@ -213,8 +213,6 @@ int main()
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// Finally, lets try the BOBYQA algorithm. This is a technique specially
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// designed to minimize a function in the absence of derivative information.
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// Generally speaking, it is the method of choice if derivatives are not available.
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// For the details on what the parameters to this function represent see its documentation.
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starting_point = -4,5,99,3;
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find_min_bobyqa(test_function(target),
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starting_point,
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