Matrix Algebra
Method
1. Reduce matrix to Row Echelon Form
2. Rank of matrix
3. Characteristic polynomial
4. Eigenvalues
5. Eigenvectors
6. Triangular Matrix
7. LU Decomposition
8. Diagonal Matrix
9. Cholesky Decomposition
10. QR Decomposition (Gram Schmidt Method)
11. QR Decomposition (Householder Method)
12. LQ Decomposition
13. Pivots
14. Singular Value Decomposition (SVD)
15. Moore-Penrose Pseudoinverse
16. Power Method for dominant eigenvalue
Mode :
Fraction
Decimal
`[[8,-6,2],[-6,7,-4],[2,-4,3]]` `[[6,-2,2],[-2,3,-1],[2,-1,3]]` `[[3,2,4],[2,0,2],[4,2,3]]` `[[1,1,1],[-1,-3,-3],[2,4,4]]` `[[1,2,1],[6,-1,0],[-1,-2,-1]]` `[[1,2,3],[0,1,0],[2,3,1]]` `[[2,3],[4,10]]` `[[5,1],[4,2]]` `[[6,3],[4,5]]`
