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 ?
The solution of the inverse problem is obtained through the minimization of a cost function that measures the misfit between the predictions (solution of the forward problem) and some experimental measurements.
This paper formulates the game model based on a cost function, in which the MUEs guarantee their required QoS, while FUEs request soft QoS requirement.
In decentralized MPC, each subsystem has an individual cost function that the controller seeks to minimize.
Unexpectedly, the convex quadratic transport cost function cannot deliver price equilibrium for any location of firms.
The utilized methodology in this involves estimation of the coefficients of a translog cost function to determine which factors contribute to economies of scale and their degree of contribution.
Our investigation employs a cost function approach that previously has been applied to hospitals (Carey 1997; Grannemann, Brown, and Pauly 1986).
Another part of the predictive control is a cost function which is defined as the sum of squared control errors and the sum of squared control increments.
My own experience stumbling around the jungle of stochastic optimization for several decades has led to the conclusion that all the different algorithmic strategies can be boiled down into four fundamental classes: policy function approximations, cost function approximations, policies based on value function approximations, and look-ahead policies.
It should be noted that the shape of the cost function f([x.
For N incident signals, the cost function of the maximum likelihood (ML) algorithm [2,3] is pN-dimensional, where p is the number of parameters to be estimated for each incident signal.
In [9], a nonlinear least square (NLS) method for synthesizing flat-top pattern was proposed, and the normalized synthesis problem was formulated by a cost function based on the least-square error criterion as
Our contribution in this research is severalfold: We estimate a cost function for local public health services with a model grounded in economic theory of the production process where inputs are translated into outputs; we consider separate estimates of economies of scale and scope for several categories of environmental inspections; and we leverage a comprehensive data set that we compile from various sources covering all 74 LHJs in Connecticut, annually from 2005 to 2012.