Your English writing platform
Discover LudwigSuggestions(5)
Exact(9)
Accurate a priori parameters can reduce the manual calibration effort and/or speed up the automatic calibration process, reduce calibration uncertainty, and provide valuable information at ungauged locations.
Analysis shows that a specific selection of parameters can reduce the limiting effect of nonlinear stretching thus allowing one to excite high-order modes with small external forces.
Besides, manufacturing with the attained optimal process parameters can reduce the opportunities of repair and rework of Cr thin-film and raise the yield.
Compared with the original condenser, the present optimal design parameters can reduce the total metal mass by 48.6% for the two wall two side design and by 26% for the two wall one side design.
These findings imply (1) today's products encourage a sub-optimal "one size fits all" approach, (2) heuristic search methods and parameters should be carefully selected based on the system being optimized, (3) weaker searches abort early along the OVERT curve, and (4) improper choice of methods and/or parameters can reduce optimization benefits by 22 33%.
Further analysis of the designs show that for the range of model parameters considered, misspecification of the model parameters can reduce the efficiency of the experimental design to 30% or less: proper selection of the model parameters at which the design is developed within the model-parameter space can increase the maximum minimum design efficiency to nearly 55%.
Similar(51)
A higher identifiable parameter can reduce model uncertainty and is critical for evaluating the effects of climate change and land use disturbance on the hydrological cycles.
As a further corollary, our results confirm current ecological theory that positive auto-correlation with constant average and inter-annual variation of a driving environmental parameter can reduce population viability and lead to extinction (e.g. [ 17, 31, 32]).
It has parsimonious model parameters, which can reduce parameter interaction and uncertainty and low requirement on inputs.
As shown here, a given solution can suggest the convergence of physical parameters, which can reduce the number of parameters by simply enforcing a new relationship.
Parameters design, although based on the Taguchi method, can optimize the performance characteristic through the setting of process parameters and can reduce the sensitivity of the system performance to sources of variation.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com