Using MATLAB to implement Cramer's Rule

In summary, the conversation is about writing an m-file that uses Cramer's rule to compute a solution matrix given any square coefficient matrix and right hand side vector. The use of a loop and the det function is suggested, and a sample code using a row/column selector is provided.
  • #1
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Hi all, I'm trying to write an m-file which will compute a solution matrix given a coefficient matrix and right hand side vector using cramer's rule.. which is no problem for a specified size matrix.. but is it possible to write an m-file which computes the solution when ANY square coefficient matrix and it's right hand side vector is entered?

I guess you would need some kind of loop... but I'm not sure how to write the code to have MATLAB substitute the right hand side vector for a different column in the co-efficient matrix for each term...

any suggestions?
 
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  • #2
I am curious about how to do this also...

some ideas would be really helpful.
 
  • #3
you just need for loop and det function to solve :|
 
  • #4
here is a row/column selector the rest is looping and det function. r and c is the number of row/column that you cancel of the matrix A, Ac is the result that you get.

Code:
function [Ac] = cancelrowcol(A,r,c)
[n,m] = size(A);

% Shortcut to upper left and lower right corner...
if ((r == 1) && (c ==1))
    Ac = sel(A,2:n,2:m);
    return
elseif ((r == n) && (c == m))
    Ac = sel(A,1:n-1,1:m-1);
    return
% Otherwise
else
     Atemp = vertcat(sel(A,1:(r-1),1:m),sel(A,(r+1):n,1:m));
     Ac = horzcat(sel(Atemp,1:(r-1),1:(c-1)),sel(Atemp,1:(r-1),(c+1:m)));
end
end
 

Related to Using MATLAB to implement Cramer's Rule

1. What is MATLAB and how does it relate to Cramer's Rule?

MATLAB is a high-level programming language and interactive environment that is commonly used for scientific computing and data analysis. It offers powerful tools for matrix manipulation and solving systems of linear equations, making it an ideal platform for implementing Cramer's Rule.

2. Can Cramer's Rule be implemented in other programming languages besides MATLAB?

Yes, Cramer's Rule can be implemented in other programming languages as well. However, MATLAB's built-in functions and syntax make it particularly efficient for this task.

3. What are the main advantages of using MATLAB to implement Cramer's Rule?

One of the main advantages of using MATLAB for Cramer's Rule is its ability to handle complex matrix operations and perform calculations quickly. It also has built-in functions for solving systems of linear equations, making the implementation process more straightforward.

4. Are there any limitations or drawbacks to using MATLAB for Cramer's Rule?

One potential limitation of using MATLAB for Cramer's Rule is the need for a license, as it is a proprietary software. Additionally, the syntax and programming style may be unfamiliar to those who are not experienced with MATLAB, which could make it more challenging to implement.

5. Can MATLAB be used to solve systems of equations using Cramer's Rule with complex numbers?

Yes, MATLAB has the ability to handle complex numbers and perform calculations with them, making it suitable for solving systems of equations using Cramer's Rule with complex coefficients.

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