Y = sinpi(X) computes
sin(X*pi) without explicitly computing X*pi. This
calculation is more accurate than sin(X*pi) because the floating-point
value of pi is an approximation of π. In particular:
Calculate the sine of X*pi using the normal sin function.
Y = sin(X*pi)
Y = 1×5
0 1.0000 0.0000 -1.0000 -0.0000
The results contain small numerical errors due to the fact that pi is a floating-point approximation of the true value of . For instance, Y(3) is not exactly zero even though .
Y(3)
ans =
1.2246e-16
Use sinpi to calculate the same values. In this case, the results are exact.
The
sinpi function fully supports tall arrays. For more information,
see Tall Arrays.
C/C++ Code Generation Generate C and C++ code using MATLAB® Coder™.
Thread-Based Environment Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.
The sinpi function
fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
The sinpi function can calculate on all variables within a table or
timetable without indexing to access those variables. All variables must have data types
that support the calculation. For more information, see Direct Calculations on Tables and Timetables.
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