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                  GAUSS ELIMINATION METHOD




              Gauss elimination is a method for solving system of linear
              equations in matrix form of       =    . It involves row reduction
              algorithm where a sequence of operations is performed on the
              corresponding augmented matrix. Let’s see an example on how the
              whole process of elimination work until the solution is derived.




                   EXAMPLE 1


             source: pixabay.com
              Using Gaussian Elimination Method, write the value of   ,    and   .



                                      + 2   + 3   = 5                                Tips:
                                                                                   Rearrange the
                                   3   −    + 2   = 8
                                                                                   equation in   ,    and   
                                                                                   order.
                                   −6   – 4   + 4   = −2




                      Solution :
              source: pixabay.com

              STEP 1 :
              Rearrange the equation and write in the form of    ×    =   .



                                          ×        =       

                          1    2      3                  5

                          3 −1        2    ×    =        8
                          4 −6 −4                       −2




              STEP 2 :
              Compose the "augmented matrix equation“


                                   C1   C2   C3                                       Tips:
                                                                                    R1 : Row 1
                                                                                    R2 : Row 2
                          R1        1     2     3    5                              R3 : Row 3
                                                                                    C1 : Column 1
                          R2        3    −1     2    8                              C2 : Column 2
                          R3        4    −6 −4 −2                                   C3 : Column 3
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