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Home > Matrix & Vector calculators > LU decomposition using Crout's method of Matrix example
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10. LU decomposition using Crout's method of matrix example
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- Example `[[8,-6,2],[-6,7,-4],[2,-4,3]]`
- Example `[[3,2,4],[2,0,2],[4,2,3]]`
- Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
- Example `[[2,3],[4,10]]`
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Other related methods
- Transforming matrix to Row Echelon Form
- Transforming matrix to Reduced Row Echelon Form
- Rank of matrix
- Characteristic polynomial of matrix
- Eigenvalues
- Eigenvectors (Eigenspace)
- Triangular Matrix
- LU decomposition using Gauss Elimination method of matrix
- LU decomposition using Doolittle's method of matrix
- LU decomposition using Crout's method of matrix
- Diagonal Matrix
- Cholesky Decomposition
- QR Decomposition (Gram Schmidt Method)
- QR Decomposition (Householder Method)
- LQ Decomposition
- Pivots
- Singular Value Decomposition (SVD)
- Moore-Penrose Pseudoinverse
- Power Method for dominant eigenvalue
- determinants using Sarrus Rule
- determinants using properties of determinants
- Row Space
- Column Space
- Null Space
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4. Example `[[2,3],[4,10]]`
Find LU decomposition using Crout's method of Matrix ... `[[2,3],[4,10]]`
Solution: Crout's method for LU decomposition Let `A=LU`
| = | | `l_(11)` | `0` | | | `l_(21)` | `l_(22)` | |
| `xx` | |
| = | | `l_(11)` | `l_(11)u_(12)` | | | `l_(21)` | `l_(21)u_(12) + l_(22)` | |
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This implies `l_(11)=2`
`l_(11)u_(12)=3=>2xxu_(12)=3=>u_(12)=1.5`
`l_(21)=4`
`l_(21)u_(12) + l_(22)=10=>4xx1.5 + l_(22)=10=>l_(22)=4`
`:.A=L xx U=LU`
This material is intended as a summary. Use your textbook for detail explanation. Any bug, improvement, feedback then
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