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cost function

A cost function for the natural gas transmission industry: further considerations

A cost function for the natural gas transmission industry: further considerations

... production function of microeconomic theory can be rewritten with engineering variables (Chenery, ...the cost function of an industry whose total production function consists of several ...

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Environmental Regulation, Technology Innovation, and Profit: A Perspective of Production Cost Function

Environmental Regulation, Technology Innovation, and Profit: A Perspective of Production Cost Function

... tial derivatives, pollution abatement costs are increas- ingly costly, and marginal production costs are non-de- creasing. A firm’s cost function in our model also satis- fies the traditional hypothesis in ...

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Statistics-Based Matching Cost Function for Intensity Transformation

Statistics-Based Matching Cost Function for Intensity Transformation

... matching cost function using segmentation and an ROSC, abbreviated ...matching cost function addresses the fattening effect and radiometric distortion problems in stereo ...matching ...

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The cost function of the data fusion process and its application

The cost function of the data fusion process and its application

... the cost function and wrote the draft version of the pa- ...the cost function to determine the inconsistency covariance matrices and contributed to the interpretation of the ...

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A micro econometric model of a short run cost function with unobserved heterogeneity

A micro econometric model of a short run cost function with unobserved heterogeneity

... run cost function plays a key role in estimating market power or predicting input and output ...marginal cost function is both convex and continuous in either all outputs or, as with hedonic ...

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A cost function for HIV prevention services: is there a 'u' – shape?

A cost function for HIV prevention services: is there a 'u' – shape?

... a cost function for HIV prevention services using two sets of ...average cost curve is driven by only two data points, the EOS index shows projects with higher lev- els of coverage are operating with ...

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H[] is the observation operator. The cost function is minimized directly to

H[] is the observation operator. The cost function is minimized directly to

... defined cost function proportional to the square of the distance between the analysis and both the background and the observations, one can obtain the ...the cost function, the background and ...

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Optimal problem of cost function for the linear neutral systems

Optimal problem of cost function for the linear neutral systems

... In this paper, we obtain the necessary and sufficient condition for the optimal con- trol problems of the quadratic cost function and deal with the properties of the fun- damental solution and the adjoint ...

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On the convexity of the cost function for the (Q,R) inventory model

On the convexity of the cost function for the (Q,R) inventory model

... as function only of the reorder ...the cost function and the Hessian determinant in terms only of standard Normal values, (b) the conditions to have global minimum from solving the first order ...

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On Intuitionistic Fuzzy Entropy as Cost Function in Image Denoising

On Intuitionistic Fuzzy Entropy as Cost Function in Image Denoising

... new cost function is designed to find the optimal threshold in every ...The cost function is based on the intuitionistic fuzzy divergence measure of the denoised image C ˜ and original image ...

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Cost effectiveness of scaling up mass drug administration for the control of soil transmitted helminths : a comparison of cost function and constant costs analyses

Cost effectiveness of scaling up mass drug administration for the control of soil transmitted helminths : a comparison of cost function and constant costs analyses

... a cost function describing how the costs of MDA change with scale to empirical cost data and incorporated it into a STH transmission ...this cost function, we investigated the ...

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Economies of Scale and Efficiency of the Pulp Industry in Indonesia: Cobb-douglas Cost Function Approach

Economies of Scale and Efficiency of the Pulp Industry in Indonesia: Cobb-douglas Cost Function Approach

... Cobb-Douglas function model to derive coefficients that require economies of scale and efficiency in the pulp ...Deterministic cost function model. While the level of cost efficiency is ...

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Allocation in Multivariate Stratified Surveys with  Non Linear Random Cost Function

Allocation in Multivariate Stratified Surveys with Non Linear Random Cost Function

... with random coefficients. The equivalent deterministic model for the problem in (1.1) is obtained by applying the chance constrained programming technique. The re- sult of optimal allocation using Chance Constrained pro- ...

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Composite Cost Function Based Solution to the Unit Commitment Problem

Composite Cost Function Based Solution to the Unit Commitment Problem

... composite cost function based solution algorithm for solving the unit commitment problem is ...composite cost coefficients to select the committed units and give the economic schedule for each ...

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Hybrid Energy Optimization Using Cost Function Evaluation with Bio Gas

Hybrid Energy Optimization Using Cost Function Evaluation with Bio Gas

... Considering cost function as the objective function, this solution carries out the optimization of the composite system, which comprises the hybrid power generation ...the cost function ...

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Actual Cost Of Reliability Improvement in Optimal Reliability Design Derived From an Analytical Cost Function

Actual Cost Of Reliability Improvement in Optimal Reliability Design Derived From an Analytical Cost Function

... associated cost units can be evolved and used to develop an analogous monetary cost function for a ...against cost (in monetary terms) yields a curve (see Figure 1) which depicts an ...

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Diagnostics on the cost-function in variational assimilations for meteorological models

Diagnostics on the cost-function in variational assimilations for meteorological models

... The aim of this work is to extend those results using stan- dard theory of quadratic forms in random variables. The first step is to express the sub-parts of the cost function as quadratic forms in the ...

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Determinants Of Cost Efficiency Among Sugarcane Farmers: A Stochastic Frontier Cost Function Approach

Determinants Of Cost Efficiency Among Sugarcane Farmers: A Stochastic Frontier Cost Function Approach

... The cost function can be used simultaneously to predict both technical and allocative efficiency of a farm (Coelli, ...frontier cost function with behavior inefficiency component and to ...

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Size and structure of return to scale in revenue function and cost function

Size and structure of return to scale in revenue function and cost function

... the function real enough according to relations of selected cost indicators, assess the way how each cost behave and assess the economy of such ...and cost function according to the ...

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Vertical Handoff Decision Model for Next Generation Network Based on Cost Function

Vertical Handoff Decision Model for Next Generation Network Based on Cost Function

... score function is calculated based on static factors ...,link cost) and dynamic factor ...on cost function and also improve the whole system performance by reducing the unnecessary ...

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