cmaesbenchmarking: Benchmarking of cmaes Stopping Conditions

averageConvergence returns a matrix with the convergence values per function or per dimension or per a combination of both.

1 2	averageConvergence(allConvergence, includedFunctions, includedDimensions, nDimensions)

`allConvergence`	matrix of convergence values
`includedFunctions`	functions for which the average convergence should be computed
`includedDimensions`	dimensions for which the average convergence should be computed
`nDimensions`	the number of dimensions for which data exists and results should be computed (nDimensions is the total number of logged dimensions, i.e. `nDimensions` has to be a counting value, not the actual dimensionality)