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2. Transforming matrix to Reduced Row Echelon Form example ( Enter your problem )
  1. Example [8-62-67-42-43]
  2. Example [324202423]
  3. Example [111-1-3-3244]
  4. Example [23410]
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. Determinant by gaussian elimination
  21. Expanding determinant along row / column
  22. Determinants using montante (bareiss algorithm)
  23. Leibniz formula for determinant
  24. determinants using Sarrus Rule
  25. determinants using properties of determinants
  26. Row Space
  27. Column Space
  28. Null Space

1. Example [8-62-67-42-43]
(Previous example)
3. Example [111-1-3-3244]
(Next example)

2. Example [324202423]





Find Transforming matrix to Reduced Row Echelon Form ...
[324202423]


Solution:
Reduced row echelon form
Given matrix
   
324
202
423


R1R1÷3

 = 
12343
202
423


R2R2-2×R1

 = 
12343
0-43-23
423


R3R3-4×R1

 = 
12343
0-43-23
0-23-73


R2R2×(-34)

 = 
12343
0112
0-23-73


R1R1-23×R2

 = 
101
0112
0-23-73


R3R3+23×R2

 = 
101
0112
00-2


R3R3÷(-2)

 = 
101
0112
001


R1R1-R3

 = 
100
0112
001


R2R2-12×R3

 = 
100
010
001



This material is intended as a summary. Use your textbook for detail explanation.
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1. Example [8-62-67-42-43]
(Previous example)
3. Example [111-1-3-3244]
(Next example)





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