Sentence examples for solutions for functions from inspiring English sources

The iterated minimization scheme that we introduced above has another interesting feature: it even suggests how to define solutions for functions F which are only l.s.c., with no gradient at all!

In this paper, a new machine learning solution for function approximation is presented.

Specifically, a combination of accelerated life testing with a neural network solution for function approximation over the time scale is proposed.

Actually, this technique is an appropriate solution for function approximation in which a hybrid learning algorithm applied for the shape and the location of MFs (Buragohain and Mahanta, 2008; Ying and Pan, 2008).

In general, different distributions for survival times and corresponding analytical solutions for survivor functions are linked to particular time-dependent formulations of the hazard functions.

How to describe/present neural networks and label their functions is one of the hot research areas and an ideal solution for mapping brain function may arrive in the very near future.

The MOACO algorithm was applied to a fifteen pipe arc pipeline system to generate Pareto optimal solutions for multiobjective function.

The benefits of the previously discussed monotone method using upper and lower solutions for a function that is either non-decreasing or non-increasing are well known.

Depending on how elaborate a model one wishes to obtain, one can use b t) to yield more complex or less complex analytic solutions for the function m(t).

Thus, given the safety issues of saline-based and HES solutions for renal function, perioperative fluid management using balanced solutions and limited volumes of HES solution (renal protective fluid management [RPF] strategy) may have beneficial effects on renal function and other clinical outcomes.

In the following two parts, we study the solutions for different connectivity functions: an exponential function, Section 6.2, and a difference of Gaussians, Section 6.3.