Documentation of 'mikera.matrixx.decompose.impl.chol.CholeskyCommon' Java class
CholeskyCommon
mikera.matrixx.decompose.impl.chol

Class CholeskyCommon

  • Direct Known Subclasses:
    Cholesky, CholeskyInner


    public abstract class CholeskyCommon
    extends java.lang.Object

    This is an abstract class for a Cholesky decomposition. It provides the solvers, but the actual decompsoition is provided in other classes.

    A Cholesky Decomposition is a special decomposition for positive-definite symmetric matrices that is more efficient than other general purposes decomposition. It refactors matrices using one of the two following equations:

    L*LT=A
    RT*R=A

    where L is a lower triangular matrix and R is an upper traingular matrix.

    See Also:
    CholeskyDecompositionInner, org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionBlock, org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionLDL
    • Method Summary

      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

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