Different approaches exist to compute the gradients needed by nonlinear programming algorithms.
Different methods exist to compute a zero-forcing (ZF) filter for a MIMO channel.
Given an electromagnetic design, a variety of methods exist to compute the additional magnetic properties and hence verify the constraints.
Various optimization algorithms exist to compute CP decomposition without constraint, as ALS or descent algorithms [7, 8, 19].
A class of objects that are describable by the surfaces bounding them are valid input for the algorithm of this work, although methods currently exist to compute the additional information necessary to process non-describable quadric objects as well.
Several algorithms exist to compute the molecular SASA, spanning from exact to analytical approximations.
Although bootstrapping procedures exist to compute MLE confidence intervals, this would require sampling from individual trials.
Although several tools exist to compute EMs of middle-size networks (Klamt et al., 2007; Trinh et al., 2009), they do not scale to large networks because the number of EMs grows exponentially with the network size (Acuna et al., 2009; Haus et al., 2008; Klamt and Stelling, 2002).
Different methods exist to practically compute the ZF filter for a MIMO channel [18].
Two equivalent methods exist to theoretically compute the optimal abstaining area for a given classification problem.
