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For example, given two matrices A and B, where A is a m x p matrix and B is a p x n matrix, you can multiply them together to get a new m x n matrix C, where each element of C is the dot product of a row in A and a column in B.
- Gauss Jordan (Rref)
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- Gauss Jordan (Rref)
Solve the linear equations using the augmented matrix calculator in seconds by using Gauss Jordan elimination method.
The calculator will perform the Gaussian elimination on the given augmented matrix, with steps shown. Complete reduction is available optionally.
To solve a system of linear equations using Gauss-Jordan elimination you need to do the following steps. Set an augmented matrix. In fact Gauss-Jordan elimination algorithm is divided into forward elimination and back substitution.
Get the resultant variable value of the augmented matrix for two variable matrices with our augmented matrix calculator which enables you to get fast calculations of a system of simultaneous linear equations.
This calculator will solve the system of linear equations of any kind, with steps shown, using either the Gauss-Jordan elimination method, the inverse matrix method, or Cramer's rule. Comma-separated, for example, x+2y=5,3x+5y=14. Leave empty for autodetection or specify variables like x,y (comma-separated).
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