Sentence examples for maximum objective function from inspiring English sources

The search for the optimal solution is performed using the branch-and-bound method in which a block coordinate ascent method is employed to produce an upper bound to the maximum objective function.

The search for the optimal solution is performed using the branch-and-bound method in which an extremely simple and efficient technique is employed to produce an upper bound to the maximum objective function.

Method 4 is the best alternative because, for large parts of the datasets, produced the best average and maximum objective function values and had lower time consumption than Methods 2 and 3.

Although Method 4 performed very well, Methods 2 and 3 should not be neglected because for a considerable number of datasets the maximum objective function values were obtained by these methods.

Thus, we conclude that the maximum objective function refers to the minimum number of channel uses.

The key nodes sequence from initial results are searched and the node with the maximum objective function value (Z* shown in formula 1) is found to be the fault power path.

The impacts of the cell material, heat exchangers, and heat sources on the maximum ecological objective function and its corresponding power output and efficiency have been analyzed.

Results also reveal that materials with larger isothermal coefficient and specific charge/discharge capacity and lower internal resistance and specific heat lead to a larger maximum ecological objective function and the corresponding power output and efficiency.

However, in the case where a parametric model-based estimation is performed, searching the maximum of objective function can be performed with refined steps in such a way that more accurate estimates are obtained.

The protonation state is particularly relevant for a mitochondrial model as changes in free protons can affect the electron transport chain and, therefore, the maximum ATP objective function.

The program is built on four strategic principles: (1) maximum objective efficiency functions based on utility per resource unit expended, (2) adaptive decision making, (3) continuous integration of biomarker and clinical information, and (4) validation of predictive biomarker hypotheses against clinical benefit.