Solving Augmented Matrix: How to Use Matlab for Linear Algebra Help

[kahless2005]

I have an augmented matrix that I need to solve. I have broken it into a 4x4 matrix and a vector. As seen below.

A= 0 1 1 1; 3 0 3 -4; 1 1 1 2; 2 3 1 3

B= 0; 7; 6; 6

I have already worked the matrix out by hand using Gaussian Elimination and have obtained the solution below

Solution: 4; -3; 1; 2

How, do I enter the system into Matlab to get the same answer?

 

[hbulut]

A= [0 1 1 1; 3 0 3 -4; 1 1 1 2; 2 3 1 3]
B= [0; 7; 6; 6]
solution=A\B
or
solution=inv(A)*B

 

[oswaler]

I would recommend using Matlab's built-in functions for solving linear systems. To solve the augmented matrix in Matlab, you can use the "linsolve" function. You can enter the matrix A and vector B as inputs to the function, and it will return the solution vector. Alternatively, you can also use the "inv" function to find the inverse of A and then multiply it with B to obtain the solution vector. Both methods should give you the same solution as the one you obtained by hand using Gaussian Elimination. Additionally, you can also use the "solve" function to find the symbolic solution to the system, which may be useful for more complex systems. I would also recommend checking the Matlab documentation or seeking help from a Matlab expert for further guidance on using these functions.