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[[es:Matriz triangular]]▼
[[ja:三角行列]]▼
[[Category:Linear algebra]]▼
[[Category:Matrix theory]]▼
[[Category:Numerical analysis]]▼
In [[linear algebra]], a '''triangular matrix''' is a special kind of [[Matrix_(mathematics)|matrix]] where the entries below or above the [[main diagonal]] are zero.
== Definition ==
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</math>
the matrix is called '''unit upper triangular matrix''' or '''normed upper triangular matrix'''.
== Notes ==
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Generally, operations can be performed on triangular matrices within half the time.
== Examples ==
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\end{pmatrix}</math>
is lower triangular.
== Application ==
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Because triangular matrices are easy to calculate they are very important in numerical analysis.The [[LU decomposition]] gives an algorithm to decompose any [[invertible matrix]] ''A'' into a normed upper triangle matrix ''L'' and a normed lower triangle matrix ''R''.
== See also ==
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* [[QR decomposition]]
* [[Hessenberg matrix]]
▲[[es:Matriz triangular]]
▲[[ja:三角行列]]
▲[[Category:Linear algebra]]
▲[[Category:Matrix theory]]
▲[[Category:Numerical analysis]]
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