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CholeskyDecomposition Class

Represents the Cholesky Decomposition of a symmetric, positive definite matrix.
Inheritance Hierarchy

Namespace:  Meta.Numerics.Matrices
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4
public sealed class CholeskyDecomposition

The CholeskyDecomposition type exposes the following members.

Public propertyDimension
Gets the dimension of the system.
Public methodDeterminant
Computes the determinant of the original matrix.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodInverse
Computes the inverse of the original matrix.
Public methodSolve
Computes the solution vector that, when multiplied by the original matrix, produces the given left-hand side vector.
Public methodSquareRootMatrix
Returns the Cholesky square root matrix.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)

A Cholesky decomposition represents a matrix as the product of a lower-left triangular matrix and its transpose. For example:

The Choleksy decomposition of a symmetric, positive definite matrix can be obtained using the CholeskyDecomposition method of the SymmetricMatrix class.


Here is an example that uses a Cholesky decomposition to solve a linear algebra problem.

// Solve Ax = b via Cholesky decomposition
CholeskyDecomposition CD = A.CholsekyDecomposition();
ColumnVector b = new ColumnVector(1.0, 2.0, 3.0);
ColumnVector x CD.Solve(b);
See Also