M 341 (Spring 2007) Example 7, Section 2.1, p.76restart:Load in the LinearAlgebra library package.with(LinearAlgebra):We define the matrix A, which is the augmented coefficient matrix of the Example. We then compute its reduced row echelon form with the suitable Maple command.A:=Matrix([[ 3, 1, 7, 2, 13], [ 2,-4,14,-1,-10], [ 5,11,-7, 8, 59], [ 2, 5,-4,-3, 39]]); ReducedRowEchelonForm(A);NiM+SSJBRzYiLUknUlRBQkxFR0YlNiUiKjNSU1AiLUknTUFUUklYR0YlNiM3JjcnIiIkIiIiIiIoIiIjIiM4NydGMiEiJSIjOSEiIiEjNTcnIiImIiM2ISIoIiIpIiNmNydGMkY6RjUhIiQiI1JJJ01hdHJpeEc2JEkqcHJvdGVjdGVkR0ZESShfc3lzbGliR0YlNiMtSSdSVEFCTEVHNiI2JSIqJyoqUlk4LUknTUFUUklYR0YlNiM3JjcnIiIiIiIhIiIkRi4iIiU3J0YuRi0hIiNGLiIiJjcnRi5GLkYuRi1GMjcnRi5GLkYuRi5GLkknTWF0cml4RzYkSSpwcm90ZWN0ZWRHRjhJKF9zeXNsaWJHRiU=We solve the system using the LinearSolve command. Note Maple's notation for a parameter.CoeffMatrix := SubMatrix(A,1..4,1..4); RightHandSide := SubMatrix(A,1..4,5..5); LinearSolve(CoeffMatrix,RightHandSide);NiM+SSxDb2VmZk1hdHJpeEc2Ii1JJ1JUQUJMRUdGJTYlIipPY0NQIi1JJ01BVFJJWEdGJTYjNyY3JiIiJCIiIiIiKCIiIzcmRjIhIiUiIzkhIiI3JiIiJiIjNiEiKCIiKTcmRjJGOEY0ISIkSSdNYXRyaXhHNiRJKnByb3RlY3RlZEdGQEkoX3N5c2xpYkdGJQ==NiM+SS5SaWdodEhhbmRTaWRlRzYiLUknUlRBQkxFR0YlNiUiKkdybFAiLUknTUFUUklYR0YlNiM3JjcjIiM4NyMhIzU3IyIjZjcjIiNSSSdNYXRyaXhHNiRJKnByb3RlY3RlZEdGOEkoX3N5c2xpYkdGJQ==NiMtSSdSVEFCTEVHNiI2JSIqKT0jNE4iLUknTUFUUklYR0YlNiM3JjcjLCYiIiUiIiImSSRfdDBHRiU2JEYvRi8hIiQ3IywmIiImRi9GMCIiIzcjRjA3IyEiI0knTWF0cml4RzYkSSpwcm90ZWN0ZWRHRj1JKF9zeXNsaWJHRiU=Lastly, we perform row reductions on the augmented coefficient matrix to bring it to row reduced echelon form. Note that we can perform two operations in one line (assignment).temp:=eval(A); temp:=RowOperation(RowOperation(temp,[1,2],-1),[4,2],-1); temp:=RowOperation(RowOperation(temp,[2,1],-2),[3,1],-5); temp:=RowOperation(RowOperation(temp,[3,2],-1),[3,4]); temp:=RowOperation(RowOperation(temp,2,-2),[2,3],-3); temp:=RowOperation(temp,[3,2],-9); temp:=RowOperation(temp,3,-1/182); temp:=RowOperation(temp,[1,2],-5); temp:=RowOperation(RowOperation(temp,[1,3],97),[2,3],-20); NiM+SSV0ZW1wRzYiLUknUlRBQkxFR0YlNiUiKjNSU1AiLUknTUFUUklYR0YlNiM3JjcnIiIkIiIiIiIoIiIjIiM4NydGMiEiJSIjOSEiIiEjNTcnIiImIiM2ISIoIiIpIiNmNydGMkY6RjUhIiQiI1JJJ01hdHJpeEc2JEkqcHJvdGVjdGVkR0ZESShfc3lzbGliR0YlNiM+SSV0ZW1wRzYiLUknUlRBQkxFR0YlNiUiKj8mZlk4LUknTUFUUklYR0YlNiM3JjcnIiIiIiImISIoIiIkIiNCNyciIiMhIiUiIzkhIiIhIzU3J0YwIiM2RjEiIikiI2Y3JyIiISIiKiEjPSEiIyIjXEknTWF0cml4RzYkSSpwcm90ZWN0ZWRHRkZJKF9zeXNsaWJHRiU=NiM+SSV0ZW1wRzYiLUknUlRBQkxFR0YlNiUiKlMpW3c4LUknTUFUUklYR0YlNiM3JjcnIiIiIiImISIoIiIkIiNCNyciIiEhIzkiI0dGMSEjY0Y0NydGNSIiKiEjPSEiIyIjXEknTWF0cml4RzYkSSpwcm90ZWN0ZWRHRkBJKF9zeXNsaWJHRiU=NiM+SSV0ZW1wRzYiLUknUlRBQkxFR0YlNiUiKkspR3g4LUknTUFUUklYR0YlNiM3JjcnIiIiIiImISIoIiIkIiNCNyciIiEhIzkiI0dGMSEjYzcnRjUiIiohIz0hIiMiI1w3J0Y1RjVGNUY1RjVJJ01hdHJpeEc2JEkqcHJvdGVjdGVkR0ZBSShfc3lzbGliR0YlNiM+SSV0ZW1wRzYiLUknUlRBQkxFR0YlNiUiKjcjZm04LUknTUFUUklYR0YlNiM3JjcnIiIiIiImISIoIiIkIiNCNyciIiFGLyEiIyIjPyEjTjcnRjUiIiohIz1GNiIjXDcnRjVGNUY1RjVGNUknTWF0cml4RzYkSSpwcm90ZWN0ZWRHRkBJKF9zeXNsaWJHRiU=NiM+SSV0ZW1wRzYiLUknUlRBQkxFR0YlNiUiKidSbSZRIi1JJ01BVFJJWEdGJTYjNyY3JyIiIiIiJiEiKCIiJCIjQjcnIiIhRi8hIiMiIz8hI043J0Y1RjVGNSEkIz0iJGskNydGNUY1RjVGNUY1SSdNYXRyaXhHNiRJKnByb3RlY3RlZEdGP0koX3N5c2xpYkdGJQ==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TTdSMApJNlJUQUJMRV9TQVZFLzEzNzQwMzkwOFgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIkIiIjIiImRigiIiIhIiUiIzZGKSIiCigiIzkhIihGK0YoISIiIiIpISIkIiM4ISM1IiNmIiNSRiYKTTdSMApJNlJUQUJMRV9TQVZFLzEzNDYzOTk5NlgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKEYoRidGKEYoIiIkISIjCkYoRihGKEYoRidGKCIiJSIiJkYqRihGJgo=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TTdSMApJNlJUQUJMRV9TQVZFLzEzNzY0ODg0MFgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKCIiJiEjOUYqIiIqISIoCiIjR0YtISM9IiIkRixGLCEiIyIjQiEjY0YyIiNcRiYKTTdSMApJNlJUQUJMRV9TQVZFLzEzNzcyODgzMlgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKCIiJiEjOSIiKkYoISIoCiIjRyEjPUYoIiIkRiwhIiNGKCIjQiEjYyIjXEYoRiYKTTdSMApJNlJUQUJMRV9TQVZFLzEzNjY1OTIxMlgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKCIiJkYnIiIqRighIighCiIjISM9RigiIiQiIz9GLEYoIiNCISNOIiNcRihGJgo=TTdSMApJNlJUQUJMRV9TQVZFLzEzODU2NjM5NlgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKCIiJkYnRihGKCEiKCEiCiNGKEYoIiIkIiM/ISQjPUYoIiNCISNOIiRrJEYoRiYKTTdSMApJNlJUQUJMRV9TQVZFLzEzNTM0ODk5NlgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKCIiJkYnRihGKCEiKCEiCiNGKEYoIiIkIiM/RidGKCIjQiEjTkYrRihGJgo=TTdSMApJNlJUQUJMRV9TQVZFLzEzNzQ3NzI0MFgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKEYoRidGKEYoIiIkISIjCkYoRighIygqIiM/RidGKCIkKT4hI05GKkYoRiYKTTdSMApJNlJUQUJMRV9TQVZFLzEzNTk5MjU3MlgsJSlhbnl0aGluZ0c2IjYiW2dsISIlISEhIzUiJSImIiIiIiIhRihGKEYoRidGKEYoIiIkISIjCkYoRihGKEYoRidGKCIiJSIiJkYqRihGJgo=