![]() In the above code, we are replacing each value of the matrix myMatrix, which is less than the scaler aScaler, with the value stored in aScaler. For example, consider we want to replace every value in the matrix which is less than a specific scaler. ![]() This function can also be used to replace the specific values of a matrix with a scaler. The result will contain three maximum values, and three indices as the number of columns in the matrix is three. In the above code, we used a matrix that has two rows and three columns. Now let’s finds the maximum value and its index from each column of the matrix. The maximum value will be stored in mValue, and its index will be stored in vIndex. For example, let’s say we want to get the maximum value and its index from a vector or array of integers. In the case of a matrix, it will return the maximum values from each column of the matrix in the form of a vector containing maximum values present in all the columns. In the case of an array, it will return the value of the maximum value present in that array along with its index. The max() function in MATLAB gets the maximum value from a given array or matrix. Find Maximum Value and Its Index Using the max() Function in MATLAB I don't really know if that will help, but it's an idea.In this tutorial, we will discuss how to find the maximum value from an array and its index using the max() function in MATLAB. (NB: overall that's more memory, but fragmentation wouldn't be so problematic). Then all the elements of the cells could be stored wherever, each needing only 10K of contiguous space. So if each row of your array was a cell, you'd need space for a 25920-by-1 cell array, which I think would be about 1.5Mb of contiguous space. ![]() IANA developer, so don't take this as gospel, but I do know that cell arrays have some memory overhead, but they effectively act like an array of pointers to other memory locations. If the issue is, for whatever reason, the maximum single array size, rather than the overall memory, you might be able to store the data as a cell array, then just access everything with indexing (and probably lots of nasty loops). but actually Walter's suggestion does bring up another possibility (dirty, but maybe effective). I was thinking of avoiding that route because it would make the memory problem worse when you do cell2mat. Is there any way you can get some kind of likely upper bound on the number of rows? If you can, and it will fit into memory, I think you'd be better off preallocating, then deleting unused rows afterward. I don't know the underlying details of how that's done, but it's possible that that's causing some of your pain. The following may work for you max (a (:)) Maximum value from a matrix (rerranged into 1 column) you can do the same for the min function. When an array is increased in size and runs out of space in its current memory location, it has to be copied somewhere with enough room. a 1 1 2 5 5 7 3 2 9 Obviously, the maximum value is going to be 9, but if you do the following: max (a) The result will be: 5 5 9. As you may know, MATLAB requires arrays to be stored in contiguous memory blocks, which is why the first line from the memory command gives the largest possible array (which is smaller than the total available). Now, the lack of preallocation of space may be causing some of the problem. One thing I was trying to establish is whether you're reading data from a source or creating it in some way. OK, so I assume you're filling the array inside some kind of loop (presumably a while loop) in which you're doing.
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