Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

▼Nmcts
CAvgBackpropagationStrategy	Adds the backpropagated value to a running stats object that calculates the ev, mean and variance
CIBackpropagationStrategy	A backpropagation strategy is used in each node. when a terminal node is simulated, its value is propagated back through every node on the path. every node saves that value according to the implementation of a specific on_backpropagate function
CInnerNode	Implements most methods of the inode interface. some methods have to be implemented problem dependend. Inner nodes are all nonterminal nodes
CINode	Basic interface for a node in the tree. Every node has to implement this functions
CISelectionStrategy	Interface for all selection strategies. A selection strategy selects one child of a parent node according to implementation specific metrics
CISimulationStrategy	Interface class for simulation strategies. this strategies are called in terminal nodes to evaluate the context in them
CIVisitor	Implements interface for visitor objects
CLeafNode	Implements methods of the inode interface that are used for terminal contexts. all leaf nodes are terminal
CMaxFunctionSelector	Selector selects the child of a node that maximises a given metric
CMaxValueSelector	Selects the child which maximises ev
CMCTS	Mainclass to interact with the library. it holds the root of the searchtree
CMinFunctionSelector	Selects a node that minimises a given metric
CMinSampleSelector	Selects the child with the lowest number of samples
CRootNode	Special node that is the root of each tree. Its merely a wrapper that wrapps around a inner node
CRunningStats	Computes variance, mean and standart deviation. http://www.johndcook.com/standard_deviation.html http://www.johndcook.com/skewness_kurtosis.html
CSamplingSelector	Selector that chooses random children uniformly
CSamplingToFunctionSelector	Uses sampling selector until threshold is reached. After that a supplied selection strategy is applied
CUCTSelector	Selector that selects the childnode, that maximises the ratio between samples and ev of the parent node