User input vector matlab torrent

user input vector matlab torrent

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Cody N°3: Find the sum of all the numbers of the input vector (MATLAB)

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The process of revising loop-based, scalar-oriented code to use MATLAB matrix and vector operations is called vectorization. Vectorizing your code is worthwhile for several reasons:. Appearance : Vectorized mathematical code appears more like the mathematical expressions found in textbooks, making the code easier to understand.

Less Error Prone : Without loops, vectorized code is often shorter. Fewer lines of code mean fewer opportunities to introduce programming errors. Performance : Vectorized code often runs much faster than the corresponding code containing loops. Test execution speed on your system by creating scripts that contain the code shown, and then use the tic and toc functions to measure their execution time.

This code shows one way to accomplish the task:. Array operators perform the same operation for all elements in the data set. These types of operations are useful for repetitive calculations. For example, suppose you collect the volume V of various cones by recording their diameter D and height H. If you collect the information for just one cone, you can calculate the volume for that single cone:. Now, collect information on 10, cones. The vectors D and H each contain 10, elements, and you want to calculate 10, volumes.

Placing a period. Array operators also enable you to combine matrices of different dimensions. This automatic expansion of size-1 dimensions is useful for vectorizing grid creation, matrix and vector operations, and more. Suppose that matrix A represents test scores, the rows of which denote different classes. You want to calculate the difference between the average score and individual scores for each class.

Using a loop, the operation looks like:. A more direct way to do this is with A — mean A , which avoids the need of a loop and is significantly faster. Even though A is a 7-by-3 matrix and mean A is a 1-by-3 vector, MATLAB implicitly expands the vector as if it had the same size as the matrix, and the operation executes as a normal element-wise minus operation.

The size requirement for the operands is that for each dimension, the arrays must either have the same size or one of them is 1. If this requirement is met, then dimensions where one of the arrays has size 1 are expanded to be the same size as the corresponding dimension in the other array.

Another area where implicit expansion is useful for vectorization is if you are working with multidimensional data. Suppose you want to evaluate a function, F , of two variables, x and y. Mathworks Matlab Rb 9. Mathworks Matlab Rb Windows 9. Roger W. Mathworks Matlab 9. Mathworks Matlab Ra Updated 5 9. Lindfield G. Mathworks Matlab Ra 7.

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User input MATLAB Function - How to give user input in matlab script - MATLAB TUTORIALS - Mruduraj

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