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Objective Function and Derivatives The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other ...
Since most objective functions are floating point intensive and can be vectorized, the performance of these algorithms can take advantage of both the Intel Xeon CPUs and Intel Xeon Phi coprocessors.
The non-dominated Pareto frontier is approximated by the simultaneous optimization of a vector objective function; ... Colby, C.B. (2005) A distance-based uncertainty analysis approach to ...
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