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This operate defines the dlib interface to your BOBYQA computer software formulated by M.J.D Powell. BOBYQA is a method for optimizing a functionality in the absence of derivative data. Powell explained it as a way that seeks the least value of a functionality of many variables, by making use of a rely on area strategy that forms quadratic styles by interpolation. There will likely be some flexibility from the interpolation disorders, which is taken up by minimizing the Frobenius norm in the improve to the second by-product on the model, beginning with the zero matrix.

This function is just like the find_min_bobyqa plan other than that it negates the target functionality before doing optimization. Thus this functionality will make an effort to discover the maximizer of the objective in lieu of the minimizer.

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This object signifies a method for pinpointing which way a line look for should be completed along. This specific object can be an implementation of the Polak-Ribiere conjugate gradient approach for identifying this course.

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