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How To Solve Ax=B in MATLAB

The process of solving linear equations is vital to both mathematics and engineering, and MATLAB offers strong tools for doing so effectively.  In this article, we will explore how to solve the equation Ax = b in MATLAB, where A is a coefficient matrix, x is the unknown variable vector, and b is the right-hand side vector. We will discuss different approaches, including direct methods and iterative methods, to find the solution using MATLAB.

How To Solve Ax=B in MATLAB

To solve a linear system ax = b in MATLAB, you can use either the matrix left division operator \ (or the mldivide() function) or the explicit matrix inverse inv() function. Here are examples of both approaches:

Method 1: Using Backslash Operator

The simplest and most common method to solve linear equations in MATLAB is by using the backslash operator. The backslash operator () in MATLAB computes the answer directly, requiring no further steps. Here is an illustration:

% Coefficient matrix A
A = [1, 2, 3; 4, 5, 6; 7, 8, 10];

% Right-hand side vector b
b = [1; 2; 3];

x = A \ b;

% Display the solution vector x
disp('Solution Vector x:');
disp(x);

 
The coefficient matrix A and the right-side vector b are defined in this code and the line x = A \ b; uses the backslash operator to solve the linear equation Ax = b and assigns the solution vector to x.

Method 2: Using Matrix Inversion

By utilizing matrix inversion, you can solve linear equations in another way. Here is an example using MATLAB’s inv() function to compute a matrix’s inverse:

% Coefficient matrix A
A = [1, 2, 3; 4, 5, 6; 7, 8, 10];

% Right-hand side vector b
b = [1; 2; 3];

% Compute the inverse of matrix A
A_inv = inv(A);

% Solve the equation Ax = b by multiplying with the inverse
x = A_inv * b;

% Display the solution vector x
disp('Solution Vector x:');
disp(x);

 
The coefficient matrix A and the right-side vector b are defined in this code. The inv() function is used to compute the inverse of matrix A in the statement A_inv = inv(A);. The solution vector x is then produced by multiplying the inverse matrix A_inv by vector b.

Method 3: Using mldivide() Function

In MATLAB, the mldivide() function, also known as matrix left division or matrix division, is an operator denoted by the backslash operator (\). In systems of linear equations of the form Ax = B, where A is a coefficient matrix and B is a column vector, it is used to solve the equations.

The mldivide() function divides a matrix while taking into account the characteristics of the coefficient matrix A to get the solution vector x.

% Coefficient matrix A
A = [1, 2, 3; 4, 5, 6; 7, 8, 10];

% Right-hand side vector b
b = [1; 2; 3];

% Solve the linear system using the mldivide() function
x = mldivide(A, b);

% Display the solution vector x
disp('Solution Vector x:');
disp(x);

 
The mldivide() function performs matrix left division and effectively solves the linear system Ax = b. The resulting solution vector x is then displayed using the disp() function.

Conclusion

MATLAB provides various methods to solve linear equations efficiently, catering to different scenarios and matrix characteristics. The backslash operator is the preferred and simplest approach for most cases. However, matrix inversion and iterative methods are valuable alternatives when dealing with specific situations.

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Source: linuxhint.com

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