Sentence examples for conservative optimization from inspiring English sources
Third, the rebuilt structure model is refined again with the same parameter settings as the last step of the conservative refinement, but with three different geometric restraint weights: the optimal weight from the conservative optimization phase, a slightly tighter restraint weight and a slightly looser restraint weight.
The PDB_REDO pipeline (version 3.10) consists of a conservative (optimization) and a progressive (rebuilding) phase.
We also expect these measures to be conservative, as optimization of the MySQL key cache and other features will improve performance.
b Side view of the array response Fig. 5 Array response of the robust FSBB using the less-conservative WCP optimization in the presence of microphone mismatches, with the user-defined parameter ε being reduced from 1.74 to 0.02.
We develop and study the high-order conservative and monotone optimization-based remap (OBR) of a scalar conserved quantity (mass) between two close meshes with the same connectivity.
Severe post-traumatic ALF was defined by partial pressure of arterial oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio <80 mmHg, a maximum positive end-expiratory pressure (18 cmH2O) and persistent respiratory acidosis (pH <7.25) despite <span class="lh lhl">optimized mechanical ventilation and optimization of conservative treatment options.
Therefore, the WCMP optimization-based design is less conservative than the WCP optimization-based design and hence is suitable for robust FSBB design as demonstrated by the simulation results in Section 6.
Wind power forecasting uncertainty has been handled in practice by means of conservative stochastic scenario-based optimization models, or through additional operating reserve settings.
Robust feasibility is ensured by imposing more conservative constraints in the optimization problem to take into account explicitly the effect of the uncertainty.
We find that conservative surrogates successfully drive optimization toward the feasible region of a design space, while that is not always the case with unbiased surrogates.
By increasing the flexible dimensions in the solution space for the energy-to-peak optimization, less conservative results on the robust energy-to-peak filtering are obtained.
