cost function


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cost function

[′kȯst ‚fəŋk·shən]
(systems engineering)
In decision theory, a loss function which does not depend upon the decision rule.
References in periodicals archive ?
After selecting a feature subset, the same is evaluated for optimum cost function as explained in the previous section.
Our methodology involves estimation of the coefficients of a translog cost function to determine which factors contribute to economies of scale and their degree of contribution.
0]), the cost function is estimated by minimizing the following function with respect to [alpha] and [beta]:
The optimal resource alocation by shifts shown in Table 2b gives the optimal value of added cost function [F.
Using a total cost function with this theoretical inconsistency leads to an incorrect assessment of economic profits and may lead to incorrect decisions on the profit-maximizing production level.
The purpose of this paper is to propose a university cost function and a semiparametric-estimating technique that treats quality as a nonneutral cost-shifting factor, which directly affects the marginal cost of outputs in undergraduate and graduate education.
The cost function based on Euclidean distance between a vector xk in groupj and the corresponding cluster [c.
a cost function J(x) under the conditions of the equality type (19),
A quadratic cost function that covers this prediction horizon is defined by (5) and in matrix form by (6).
For any solution the value of the cost function is the sum of the weights associated with the constraints which are violated and for a feasible solution all of the hard constraints are satisfied.
The cost function has been defined in such a way that the higher the cost value is, the lower the probability that the two cells should be identified as being the same cell across frames.