# Difference between revisions of "Manuals/calci/QRDECOMPOSITION"

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5.3446973501217775e-17 0 1.7054560140922779 | 5.3446973501217775e-17 0 1.7054560140922779 | ||

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+ | ==Related Videos== | ||

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+ | {{#ev:youtube|v=J41Ypt6Mftc|280|center|QR Decomposition}} | ||

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==See Also== | ==See Also== | ||

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*[[Manuals/calci/CHOLESKYFACTORIZATION| CHOLESKYFACTORIZATION]] | *[[Manuals/calci/CHOLESKYFACTORIZATION| CHOLESKYFACTORIZATION]] | ||

*[[Manuals/calci/CONFERENCE| CONFERENCE]] | *[[Manuals/calci/CONFERENCE| CONFERENCE]] | ||

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==References== | ==References== |

## Latest revision as of 13:30, 2 May 2019

**QRDECOMPOSITION (Matrix)**

- is the set of values.

## Description

- This function gives the value of QR Decomposition.
- In , is any matrix.
- QR Decomposition is also called QR Factorization.
- QR Decomposition is defined by the product of Orthogonal matrix and Upper Triangular matrix.
- Consider any square matrix A may be decomposed as , where stands for orthogonal matrix and stands for Upper Triangular matrix.
- An orthogonal matrix should satisfy , where is identity or Unitary matrix.
- is the transpose matrix of Q.
- If the given matrix A is non-singular, then this factorization is unique.
- Gram-Schmidt process is one of the process of computing decomposition in QR Decomposition method.

## Examples

A | B | |
---|---|---|

1 | 2 | 6 |

2 | 10 | -15 |

=QRDECOMPOSITION(A1:B2)

-0.19611613513818393 -0.9805806756909202 |
-0.9805806756909202 0.19611613513818393 |

-10.19803902718557 13.5320133245347 |
-1.1102230246251565e-15 -8.825226081218279 |

A | B | C | |
---|---|---|---|

1 | 3 | 8 | -5 |

2 | 4 | -6.3 | 9 |

3 | 2 | 5 | -1 |

=QRDECOMPOSITION(A1:C3)

-0.5570860145311556 0.631547425332445 -0.5392615524675877 |
-0.7427813527082074 -0.669329688618384 -0.01654176541311622 |
-0.3713906763541037 0.3913382392381005 0.841975859527614 |

-5.385164807134504 -1.634118975958056 -3.528211425363985 |
-2.1551618871879059e-16 11.22584763714588 -9.573042563465782 |
5.3446973501217775e-17 0 1.7054560140922779 |

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