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 are contained in the Extreme.Mathematics.LinearAlgebra namespace.
In this section: