P2. The value of can be determined by the series (-1)() 4 -1.2.3 (2k-1) Write a...

 

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P2. The value of can be determined by the series (-1)() 4 -1.2.3 (2k-1) Write a MATLAB function [n, piVal, err]=findPiValue (targetError) that determines the minimum number of terms of the series n required to achieve an absolute value of the percentage relative error (err) that is less than or equal to targetError. Here pival is value of determined by summing the first n terms of the series. Submit a printout of the function. For example error of 4 4 4 4 4 4 3579 11 13 + = 4--+ IftargetError-20, then the function should return values of n=2, pival-2.666667 give a value of 4 I -2.666667 and err-15.127364 because the first two terms will = 2.666667 which has an absolute percentage relative |x100=15.12% that is less than or equal to the target error of 20%. IftargetError-3, then the function should return values of n-11, pival-3.232316 and err-2.887808 because the first eleven terms will give a value of 3.232316 which has an absolute percentage relative error of -3.232316 <100-2.89% that is less than or equal to the target error of 3%. P2. The value of can be determined by the series (-1)() 4 -1.2.3 (2k-1) Write a MATLAB function [n, piVal, err]=findPiValue (targetError) that determines the minimum number of terms of the series n required to achieve an absolute value of the percentage relative error (err) that is less than or equal to targetError. Here pival is value of determined by summing the first n terms of the series. Submit a printout of the function. For example error of 4 4 4 4 4 4 3579 11 13 + = 4--+ IftargetError-20, then the function should return values of n=2, pival-2.666667 give a value of 4 I -2.666667 and err-15.127364 because the first two terms will = 2.666667 which has an absolute percentage relative |x100=15.12% that is less than or equal to the target error of 20%. IftargetError-3, then the function should return values of n-11, pival-3.232316 and err-2.887808 because the first eleven terms will give a value of 3.232316 which has an absolute percentage relative error of -3.232316 <100-2.89% that is less than or equal to the target error of 3%.

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Heres a MATLAB function findPiValue that implements the logic you d... View the full answer