Sentence examples for minimization is written from inspiring English sources

Beginning the iteration with, the minimization is written as (15).

In the ad hoc topology, the centralized minimization problem is written in a separable way and the alternating direction method of multipliers is utilized to construct an in-network algorithmic tracking and association framework.

Ignoring |y1|2 (independent of the minimization operation), the bit metric is written as (11).

Since the GA code is written for minimization, in the present case, objective function is same as fitness function.

A least squares minimization is used to relate to, which is written as (12).

Note that we have followed the same sign conventions as in [20] but usually the cost functions and potentials are the negatives of those here and the optimal transportation problem is written equivalently as a minimization problem.

The equilibrium equation for this model is written in the form of a minimization problem.

According to the Wolfe dual form, the above minimization problem can be written as: operatorname{minimize}:Wleft alpha right)=-sum limits_{i=1}^N{alpha}_i+frac{1}{2}sum limits_{i=1}^Nsum limits_{j=1}^N{y}_i{y}_j{alpha}_i{alpha}_jkleft({mathbf{x}}_i,{mathbf{x}}_jright) (3) mathrm{subject} mathrm{to}:sum limits_{i=1}^N{y}_i{alpha}_i=0,kern0.5em forall i 0le {alpha}_ile C, (4).

The solution to the minimization problem can also be written as a function of the kernel function.

Equation (15) can also be written as minimization of uncovered demands; ( {text{Min}}left( {sumnolimits_{i in I} {{text{Max}}left{ {r_{i} - r_{i} x_{i} Phi_{i},0} right}} } right) ).

In the case of minimization, the linear equation can be written as min z = cTv, where c is a row vector representing the influence of individual fluxes on the objective function.