图优化工具，Ｇ2o

In this document we describe a C++ framework for performing the optimization of nonlinear least squares problems that can be embedded as a graph or in a hyper-graph. A hyper-graph is an extension of a graph where an edge can connect multiple nodes and not only two. Several problems in robotics and in computer vision require to find the optimum of an error function with respect of a set of parameters. Examples include, popular applications like SLAM and Bundle adjustment.