Your English writing platform
Discover LudwigSuggestions(5)
Exact(17)
Moisture diffusivity of mango fruit was determined by minimising the sum of squares of the residuals between experimentally determined and numerically predicted data.
These parameters were evaluated by minimising the sum of the squares of the fractional deviations between experimental viscosity data obtained from the literature and the values calculated from the Chapman-Enskog equation using the Stockmayer potential.
The RLS algorithm with FF approaches the problem of estimation of non-stationary (time-varying) signal model parameters by minimising the sum of exponentially weighted squared residuals [5 7, 25, 26].
The model is fitted by minimising the sum of absolute deviations rather than the sums of squares to reduce outlier effects.
Parameters for these models were estimated by minimising the sum of total deviance and lead time penalty (mean lead time × penalty).
Map distances are estimated by minimising the sum of weighted (LOD scores as weights), squared difference of observed and expected pairwise distances [ 51].
Similar(43)
(2) Fit by minimising the sums of squares of differences between the actual and estimated survival probabilities S t) at times t = 0, ½, 1, 1½, 2, 2½, etc, up to 10. (3) Fit by regression of log -log(S(t))) against log -logwith S t) againstt time points 0, ½, 1, 1½, 2, 2½, etc, up to 10.
A critical aspect of the benchmarks addressed in this paper is that the primary objective is to minimise the sum of the project completion times, with the usual makespan minimisation as a secondary objective.
The objective is to minimise the sum of the circuit costs to connect all street cabinets to the central office, while satisfying capacity restrictions and edge disjointness within each circuit.
The OLS method produces a regression equation for the existing data, which minimises the sum of the squared errors (i.e., the error between each data point in the model and the equation).
Technically, this match is obtained by least-squares, adjusting the parameters to minimise the sum of the squared differences between ASM and VFM field strengths (see Olsen et al. 2003; Yin and Lühr 2011).
More suggestions(15)
minimising the amount
minimising the probability
minimising the spread
minimising the pain
minimising the heating
minimising the number
minimising the use
minimising the value
minimising the trajectory
minimising the impact
minimising the loss
minimising the downside
minimising the occurrence
minimising the contact
minimising the service
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