A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …

completeness, we add three popular local algorithms to the comparison--the Nelder-Mead downhill simplex algorithm, the Derivative …We benchmark seven global optimization algorithms by comparing their performance on challenging multidimensional test … functions as well as a method of simulated moments estimation of a panel data model of earnings dynamics. Five of the algorithms …

There is growing concern about "algorithmic bias" - that predictive algorithms used in decision-making might bake in or … objective function for the algorithm designer and a model of their information sets and interaction. We build such a model that … allows the training data to exhibit a wide range of "biases." Prevailing wisdom is that biased data change how the algorithm …

algorithm in terms of model complexity or the number of predictors to accommodate. Each firm then appoints a data analyst that … uses the chosen algorithm to estimate demand for multiple consumer segments, based on which, it devises a targeting policy … to maximize estimated profit. We show that competition may induce firms to strategically choose simpler algorithms which …

finding flat solutions to functional equations. This characteristic enables ML algorithms to solve for transition dynamics …