In MATLAB, you can apply a function to every row or column of a matrix using the following methods:

1. For-loop: You can use a for-loop to iterate through each row or column of the matrix and apply the function. For example, if you have a matrix A and want to apply the function f to each row, you could use the following code:

for i = 1:size(A,1)
    A(i,:) = f(A(i,:))
end

2. Anonymous function: You can create an anonymous function to apply the function to each row or column of the matrix. For example, if you have a matrix A and want to apply the function f to each row, you could use the following code:

f = @(x) x.^2;
B = arrayfun(f, A);

3. Arrayfun: You can use the arrayfun function to apply a function to each element of a matrix. For example, if you have a matrix A and want to apply the function f to each element, you could use the following code:

f = @(x) x.^2;
B = arrayfun(f, A);

4. Element-wise operations: You can use element-wise operations to apply a function to each element of a matrix. For example, if you have a matrix A and want to square each element, you could use the following code:

B = A.^2;

5. Matrix functions: Some functions, such as sum and mean, can be applied to a matrix to produce a row or column vector of the results. For example, if you have a matrix A and want to compute the sum of each row, you could use the following code:

sums = sum(A, 2);

These are some of the ways you can apply a function to every row or column of a matrix in MATLAB. Choose the method that best fits your needs and is most efficient for your data.