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The evaluation of an optimised relaxation parameter is introduced taking into account the minimisation of a square error functional.
Stochastic Gradient Descent (SGD) is another linear method, structuring the problem as a gradient-descent based minimisation of a loss function describing the prediction error.
This procedure is carried out with the application of the response surface method, based on the minimisation of a total utility function.
The minimisation of a load uniformity parameter evaluated as the ratio between the maximum and the average crushing loads has been considered as objective function.
This model is linked to a mathematical optimisation algorithm in order to enable the optimisation of vehicle design parameters through the minimisation of a well defined objective function.
This definition is based on the minimisation of a geometrically motivated objective function which measures the sum of distances of a variable matrix to the given data matrices.
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The CP is transformed into the minimisation of an error between the solutions to two well-posed elastoplastic evolution problems.
Sequential feature selection in its basic form involves minimisation of an objective function over all feasible feature subsets by adding or removing features from a candidate subset while evaluating the criteria (Liu and Motoda 2007; Stańczyk and Jain 2015).
The main concept revolves around the minimisation of an objective function that represents the deviation between the experimental measurements and the values inferred from the network topology penalized by a function of the map's size.
We argue that, in order to make an environmental optimisation of resource use and a minimisation of emissions, a systems perspective is necessary, both in research and practice.
The ideal behaviour is defined in a performance index the minimisation of which defines an ideal trade-off between deviations in boiler pressure and water level from their respective setpoints and the cost of burner switches and variation of continuous input flows.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com