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  1. As Oli already pointed out, it's usually easiest to use linspace when you know the number of points you want and the colon operator when you know the spacing you want between elements. However, it should be noted that the two will often not give you exactly the same results.

  2. linspace is similar to the colon operator, “:”, but gives direct control over the number of points and always includes the endpoints. “lin” in the name “linspace” refers to generating linearly spaced values as opposed to the sibling function logspace, which generates logarithmically spaced values.

  3. There are a couple of ways you can do this: Using the colon operator: startValue = 1; endValue = 10; nElements = 20; stepSize = (endValue-startValue)/(nElements-1); A = startValue:stepSize:endValue; Using the linspace function (as suggested by Amro): startValue = 1;

  4. 4 cze 2016 · The principal difference is that with the colon operator, you define the interval between successive elements and let the length of the resulting vector vary, and in linspace, you define the length of the vector and the function calculates the interval to fit the length.

  5. 15 lis 2021 · The linspace() function is used to generate linearly spaced vectors in Matlab. This function is used when we have to use a vector containing linearly spaced numbers. For example, consider, we have a function, and we want to evaluate and plot this function inside a certain range like 1 to 100.

  6. The linspace function generates linearly spaced vectors. It is similar to the colon operator ":", but gives direct control over the number of points. y = linspace(a,b) generates a row vector y of 100 points linearly spaced between a and b. y = linspace(a,b,n) generates n points. See Also.

  7. The principal difference is that with the colon operator, you define the interval between successive elements and let the length of the resulting vector vary, and in linspace, you define the length of the vector and the function calculates the interval to fit the length.

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