Sentence examples for maximize a linear from inspiring English sources

The optimization objective is to maximize a linear combination of the effective bulk modulus and conductivity of the composite.

LP is a mathematical optimization method that seeks to optimize (i.e., minimize or maximize) a linear objective function subject to equality and inequality constraints.

To answer this question we use linear programming (shortly LP), which is an efficient technique for finding a solution of optimization problems: to minimize or maximize a linear objective function subject to linear equality/inequality constrains [7].

The main contribution of this article is a method that provides an upper bound to the following OFDMA-SDMA RA problem for mixed RT and nRT traffic: for a given time slot, find the user selection and beamforming vectors that maximize a linear function of the users rates, given a total transmit power constraint and minimum rate constraints for RT users.

For this class, the problems involve minimizing (or maximizing) a linear objective function whose variables are real numbers that are constrained to satisfy a system of linear equalities and inequalities.

The revolutionary feature of the approach lies in expressing the goal of the decision process in terms of minimizing or maximizing a linear objective function for example, maximizing possible sorties in the case of the air force, or maximizing profits in industry.

The seller's problem, to maximize expected revenue, consists of maximizing a linear functional over a convex set of mechanisms.

Integer programming, in particular, integer linear programming (ILP) is to maximize (or minimize) a linear objective function with linear constraints (i.e., linear inequalities and linear equations) with all the variables taking integer values.

Linear programming (LP) can then be used to find a set of flux values -- a point in the space of allowable solutions -- that maximize a certain biologically relevant linear objective function Z, which is usually chosen to be the biomass growth flux.

To restrict this space to fluxes of interest, FBA uses linear programming to maximize a biologically relevant quantity in the form of a linear objective function Z[ 70].

Maximizing a log-linear objective yielded more heterogeneous configurations that benefit more species.