Sentence examples for approximation of cost from inspiring English sources

Gamma regressions were used to compare outcomes because gamma distribution is suggested by many as a close approximation of cost data.

Relevant to the approach proposed herein, Mahadevan et al. in[17] proposed the use of DW[18] as a projection basis for the sparse approximation of cost-to-go functions.

And this algorithm is an optimal control algorithm based on policy iteration (PI), and it can obtain the suitable approximations of cost function and the optimized control policy.

In spite of the limitations inherent to accounting-based approximations of cost of equity capital, Daske et al. (2010) support this measurement design, arguing that such approximations for cost of equity capital are robust and even more reliable than models based on abnormal earnings growth.

We noted a remarkable scarcity of empirical data on appropriate approximations of cost functions in exposure assessment, as well as on the sizes of costs pertaining to different measurement stages, for instance subjects and occasions within subjects.

Approximations of cost-to-go functions[13, 14] are generally based on oversimplified models and thus cannot be accurately used in general practical networks.

First, the lower and upper approximations of cost-sensitive multi-granulation are constructed, and it can be verified that in multi-granulation framework, the information granules and approximations are sensitive to decision costs and test costs, respectively.

Cost-effectiveness studies are also recommended with the data from each country to obtain an approximation of the cost which each country is willing to accept as reasonable for the prevention of fragility fractures.

"Administration officials should do that themselves and send us an approximation of the cost".

This short note presents an alternate approximation of concave cost functions used to reflect economies of scale in process design and supply chain optimization problems.

To satisfy the volume constraint effectively, the Lagrangian multiplier derived from the first-order approximation of the cost function is amended by the bisection algorithm.