Mesh reduction refers to a wide variety of algorithms which reduce the size of large datasets. A
simple example which applies to structured meshes is subsampling, in which a subset of the
vertices in each dimension are retained, resulting in a coarse mesh. More sophisticated techniques
apply to both structured and unstructured data, with one or many variables.
