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Extreme Optimization User's Guide

User's Guide

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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 N:Extreme.Mathematics.LinearAlgebra.Sparse namespace.

In this section:

Sparse Vectors
Sparse Matrices
Solving Sparse Systems

 

Up: Vector and Matrix Library Next: Sparse Vectors Previous: Complex Linear Algebra Contents

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