# Package com.numericalmethod.suanshu.algebra.linear.matrix.doubles.factorization.triangle.cholesky

• Interface Summary
Interface Description
Cholesky
Cholesky decomposition decomposes a real, symmetric (hence square), and positive definite matrix A into A = L * Lt, where L is a lower triangular matrix.
• Class Summary
Class Description
Chol
Cholesky decomposition decomposes a real, symmetric (hence square), and positive definite matrix A into A = L * Lt, where L is a lower triangular matrix.
CholeskyBanachiewicz
Cholesky decomposition decomposes a real, symmetric (hence square), and positive definite matrix A into A = L * Lt, where L is a lower triangular matrix.
CholeskyBanachiewiczParallelized
This is a parallelized version of CholeskyBanachiewicz.
CholeskySparse
Cholesky decomposition decomposes a real, symmetric (hence square), and positive definite matrix A into A = L * Lt, where L is a lower triangular matrix.
CholeskyWang2006
Cholesky decomposition works only for a positive definite matrix.