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Home > Matrix & Vector calculators > Pivots of a Matrix example
16. Pivots of a Matrix example ( Enter your problem )
( Enter your problem )
  1. Example `[[8,-6,2],[-6,7,-4],[2,-4,3]]`
  2. Example `[[3,2,4],[2,0,2],[4,2,3]]`
  3. Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
  4. Example `[[2,3],[4,10]]`
 		Other related methods
  1. Transforming matrix to Row Echelon Form
  2. Transforming matrix to Reduced Row Echelon Form
  3. Rank of matrix
  4. Characteristic polynomial of matrix
  5. Eigenvalues
  6. Eigenvectors (Eigenspace)
  7. Triangular Matrix
  8. LU decomposition using Gauss Elimination method of matrix
  9. LU decomposition using Doolittle's method of matrix
  10. LU decomposition using Crout's method of matrix
  11. Diagonal Matrix
  12. Cholesky Decomposition
  13. QR Decomposition (Gram Schmidt Method)
  14. QR Decomposition (Householder Method)
  15. LQ Decomposition
  16. Pivots
  17. Singular Value Decomposition (SVD)
  18. Moore-Penrose Pseudoinverse
  19. Power Method for dominant eigenvalue
  20. determinants using Sarrus Rule
  21. determinants using properties of determinants
  22. Row Space
  23. Column Space
  24. Null Space
3. Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
(Previous example)		17. Singular Value Decomposition (SVD)
(Next method)

4. Example `[[2,3],[4,10]]`


Find Pivots of a Matrix ...
`[[2,3],[4,10]]`

Solution:
First apply Gaussian Elimination method to find Pivots
`A` = 
`2``3`
`4``10`


`R_2 larr R_2-2xx R_1`

 = 
`2``3`
`0``4`


Pivots are the first non-zero element in each row of this eliminated matrix.

`:.` Pivots are `2,4`

This material is intended as a summary. Use your textbook for detail explanation.
Any bug, improvement, feedback then Submit Here


3. Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
(Previous example)		17. Singular Value Decomposition (SVD)
(Next method)


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