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The differential approximation is a method of approximating derivatives with algebraic operation of discrete values.
Edge detection is done using the Sobel method, which uses the Sobel method of approximating a derivative.
We present a new method of approximating the intersection curves of two parametric surfaces.
Additionally, a new method of approximating the prior distribution of the parameters for Bayesian optimal experimental design based on the profile likelihood is presented.
We propose a method of approximating the state of a partial differential equation in a representation space developed separately from the numerical method.
This clinical report describes a modified sectional impression procedure and a method of approximating the sectional trays for a completely edentulous female patient with limited oral opening due to scleroderma.
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Methods of approximating the sum probability distribution of log-normal RVs are discussed and adopted in the SINR derivation.
The most commonly used methods of approximating the fixed points of the Zamfirescu operators are the Picard, Mann [10], Ishikawa [8], Noor [11], and multistep [15] iterative schemes.
Some stable methods of approximating solution for each equation in (1.1) with m-accretive operator are investigated in [12, 13], and [14] having the weakly sequentially continuous duality mapping j.
However there are a couple of methods of approximating the marginal likelihood of a model (and therefore the BF between two models) by processing the output of a BEAST analysis.
This method consists of approximating the covariance matrix using central and noncentral moments of the source angular power densities.
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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