Consider a set of equations in a matrix form Ax=b, where A is a upper triangular matrix with non-zero diagonal elements. The equation is re-written in full matrix form as
Solved using the following algorithm
Example: Consider a system with the given row-echelon form for its augmented matrix.
The equations for this system are
x − 2y + z = 4
y + 6z = −1
z = 2
The last equation says z = 2. Substitute this into the second equation to get
y + 6(2) = −1
y = −13
Now substitute z = 2 and y = –13 into the first equation to get
x−2(−13)+(2)=4
x=−24
Thus the solution is x = –24, y = –13, and z = 2.
Solved using the following algorithm
Example: Consider a system with the given row-echelon form for its augmented matrix.
The equations for this system are
x − 2y + z = 4
y + 6z = −1
z = 2
The last equation says z = 2. Substitute this into the second equation to get
y + 6(2) = −1
y = −13
Now substitute z = 2 and y = –13 into the first equation to get
x−2(−13)+(2)=4
x=−24
Thus the solution is x = –24, y = –13, and z = 2.
Example: C++ program to solve Upper-Triangular Matrix transform and solving Using Back-Substitution
Output
Enter the size Of Matrix
3
Enter the matrix by rows
x[0][0]
1
x[0][1]
-2
x[0][2]
1
x[1][0]
0
x[1][1]
1
x[1][2]
6
x[2][0]
0
x[2][1]
0
x[2][2]
1
Enter the Element into b[0] =
4
Enter the Element into b[1] =
-1
Enter the Element into b[2] =
2
1 -2 1
0 1 6
0 0 1
Solution of Ax=b is X[0] = -24
Solution of Ax=b is X[1] = -13
Solution of Ax=b is X[2] = 2
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