Pattern search is a family of numerical optimization methods that does not require a gradient. As a result, it can be used on functions that are not continuous or differentiable. One such pattern search method is "convergence", which is based on the theory of positive bases. Optimization attempts to find the best match in a multidimensional analysis space of possibilities.