Sentence examples for mathematical programming in from inspiring English sources

The non-linear yield functions are treated as piecewise linearizations in order to provide simplified expressions for mathematical programming in limit analysis formulations.

Today it is almost impossible to name an industry that is not using mathematical programming in some form, although the applications and the extent to which it is used vary greatly, even within the same industry.

The interest of both the stochastic (in particular, metaheuristic) and mathematical programming (in particular, deterministic) communities to the comparison of metaheuristic and deterministic classes of methods is well recognized.

Features of the stress path lead to an equation with min max problem of the mathematical programming in the left side, which determines a safe value of the virtual residual stress.

Using primary data collected from 369 randomly selected farm-households we combine a farm-household classification with mathematical programming in order to estimate the opportunity costs of conserving the Kakamega Forest and restricting access to non-timber forest product resources.

In the present study, we show the effectiveness of non-linear mathematical programming in solving continuous-variable WFLO problems by utilizing exact gradient information of the problem's objective and constraints.

This paper addresses the solution of mixed-integer nonlinear mathematical programs in which the number of linear constraints far exceed the number of nonlinear constraints, and with most variables participating in the nonconvex terms.

We then apply a Python-based risk and uncertainty analysis library that leverages the explicit representation of the mathematical program in Python to automatically expand the deterministic system model into a multi-stage stochastic program, which can then be solved either directly or via decomposition-based solution strategies.

For illustrating the steps of presented algorithm, we used the numerical example of the paper entitled "Crashing PERT network using mathematical Programming" published in "International Journal of Project Management" in 2001.

The authors in [15] propose a mathematical programming scheme in order to coordinate node and link mapping.

In this paper, we present a mathematical programming model in planning sustainable electricity generation and CO2 mitigation (EGCM) infrastructure design, including financial risk management under uncertainty.