In many applications, the majority of the elements of a matrix are zero.
Such a matrix is called a sparse matrix.
Similarly, a vector with mostly zero elements is called a sparse vector.
Taking advantage of sparsity can save memory and computing time.
The Extreme Optimization Numerical Libraries for .NET contain
a series of classes for working with sparse vectors and matrices. These classes live
in the Extreme.Mathematics.LinearAlgebra
In this section: