MC: MonteCarlo
In genehackers/optizyme: Optizyme
Description
Function that generates the starting points to use for gradient descent,
only allowing values that perform better than an initial guess.
The MCGD algorithm is a combination of the MC and the GradientDescent functions.
Usage
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MC(
NumberOfEnzymes,
TotalEnzyme,
NumberOfRuns,
ThresholdGuess,
GDPrecision,
GDNumberOfSteps
)
Value
starting points for gradient descent algorithm
genehackers/optizyme documentation built on Oct. 24, 2020, 9 a.m.
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Description
Function that generates the starting points to use for gradient descent, only allowing values that perform better than an initial guess. The MCGD algorithm is a combination of the MC and the GradientDescent functions.
Usage
1 2 3 4 5 6 7 8 | MC(
NumberOfEnzymes,
TotalEnzyme,
NumberOfRuns,
ThresholdGuess,
GDPrecision,
GDNumberOfSteps
)
|
Value
starting points for gradient descent algorithm
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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