View source: R/SimplexAlgorithm.R
fun.amoeba | R Documentation |
function fun.amoeba
fun.amoeba(p, y, ftol, itmax, funk, outcomes, data, showProcess)
p |
input is a matrix p whose ndim+1 rows are ndim-dimensional vectors which are the vertices of the starting simplex. |
y |
vector whose components must be pre-initialized to the values of funk evaluated at the ndim+1 vertices (rows) of p. |
ftol |
the fractional convergence tolerance to be achieved in the function value. |
itmax |
maximal number of iterations. |
funk |
multidimensional function to be optimized. |
outcomes |
A vector giving the outcomes. |
data |
a fixed set of data. |
showProcess |
A boolean for showing the process or not. |
A list containing the components of the optimized simplex. 'getColumnAndParametersNamesFIMInLatex.
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