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.

In real-time applications after the N th sampling, a

cost function is evaluated using the following weighted quadratic function

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.