![]() ![]() ![]() P = params(j,:) %# Īfter running the code, the cell-arrays x and p will contain, for each iteration, the pH and params respectively that satisfy your equation: -0.01one command it lets you process all elements of an array, avoiding loops and making your code more. Let's say you have an n-dimensional vector v and an m x n matrix M, where every row is also an n-dimensional vector. If I could get any help that would be much appreciated. I preallocated the arrays which helps improve runtime. vectorize( function ) when function is an inline function object, vectorizes the formula for function. I want to vectorize to improve runtime the code I have right now runs very slow. I know how to vectorize the sumsurface line but I am not sure how to include the if statement, I would really like to vectorize the whole for loop and get rid of it. I just recently learned about vectorization. For example, it seems to me that the problem you've described can be formulated as a convolution, and then you can use matlab's conv2() or filter() functions to implement it without the loop. I would like to vectorize these two lines of code. The rule of thumb is that you should use built-in matlab functions that operate on arrays in place of loops whenever possible.
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