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    • Vectors
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  • Sparse Vectors and Matrices
    • Sparse Vectors
    • Sparse Matrices
    • Solving Sparse Systems
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Sparse Vectors and Matrices

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:

  • Sparse Vectors
  • Sparse Matrices
  • Solving Sparse Systems

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