LabVIEW Multicore Analysis and Sparse Matrix Toolkit API Reference

Cholesky Decomposition VI

  • Updated2023-02-21
  • 4 minute(s) read

Cholesky Decomposition VI

Owning Palette: Linear Algebra VIs

Requires: Multicore Analysis and Sparse Matrix Toolkit

Computes the Cholesky decomposition of a symmetric or Hermitian positive definite matrix A.

Wire data to the A input to determine the polymorphic instance to use or manually select the instance.

Details  

Cholesky Decomposition (DBL)

A specifies a symmetric positive definite matrix. A must be square. If A is not symmetric, this VI uses only the upper triangular portion of A.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Cholesky returns the decomposed upper triangular matrix.
error out contains error information. This output provides standard error out functionality.

Cholesky Decomposition (SGL)

A specifies a symmetric positive definite matrix. A must be square. If A is not symmetric, this VI uses only the upper triangular portion of A.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Cholesky returns the decomposed upper triangular matrix.
error out contains error information. This output provides standard error out functionality.

Cholesky Decomposition (CDB)

A specifies a Hermitian positive definite matrix. A must be square. If A is not Hermitian, this VI uses only the upper triangular portion of A.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Cholesky returns the decomposed upper triangular matrix.
error out contains error information. This output provides standard error out functionality.

Cholesky Decomposition (CSG)

A specifies a Hermitian positive definite matrix. A must be square. If A is not Hermitian, this VI uses only the upper triangular portion of A.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Cholesky returns the decomposed upper triangular matrix.
error out contains error information. This output provides standard error out functionality.

Cholesky Decomposition Details

The following table lists the support characteristics of this VI.

Supported on RT targets Yes
Suitable for bounded execution times on RT Yes (with exceptions). The following instances are exceptions:
  • Cholesky Decomposition (DBL)
  • Cholesky Decomposition (CSG)

Refer to the Details section in the Cholesky Factorization VI for more details about this VI.

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