MeanWalker

Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
meanwalker::FunctionAbstract base class for a (multidimensional) function
meanwalker::GoodmanWeareHistogramBuilderThis class uses the Goodman-Weare method to take samples from a probability distribution and automatically creates histograms for the marginalized distributions corresponding to each of the coordinates
meanwalker::GoodmanWeareWalkersThis class implements the Goodman-Weare method for taking samples from a particular probability distribution
meanwalker::HistogramThis class implements a one-dimensional histogram
meanwalker::Histogram2DThis class implements a two-dimensional histogram
meanwalker::HistogramBuilderTemplate< WalkerBase >This is a template base class for the histogram builders
meanwalker::MetropolisHistogramBuilderThis class uses the Metropolis-Hastings method to take samples from a probability distribution and automatically creates histograms for the marginalized distributions corresponding to each of the coordinates
meanwalker::MetropolisWalkerThis class implements the Metropolis-Hastings method for taking samples from a particular probability distribution
meanwalker::RandomNumberGeneratorAbstract interface for a random number generator