- #1
Daviddd
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To calculate the minimum N, you can use the formula N = log((b-a)/e)/log(2), where a and b are the bounds of the interval and e is the desired error. In Matlab, you can use the function log10() to calculate the base 10 logarithm and log2() to calculate the base 2 logarithm.
Yes, there are other formulas that can be used to calculate the minimum N, such as the Taylor series formula or the Euler-Maclaurin formula. However, the formula mentioned above is the most commonly used in Matlab for this purpose.
You can use the built-in function linspace() in Matlab to generate a vector of N equally spaced points between a and b. Then, you can use this vector to calculate the error at each point and check if it is less than 10^-7. If all the errors are below the desired threshold, your N value is accurate enough.
If your calculated N is not accurate enough, you can try increasing the number of points or using a different formula to calculate the minimum N. You can also check for any errors in your code or if the interval bounds are too large, which can affect the accuracy of the calculation.
Yes, this method assumes that the function you are evaluating is continuous and differentiable within the given interval. It also assumes that the error is evenly distributed throughout the interval. If these assumptions are not met, the calculated N may not be accurate enough.