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  1. One header file library that implement missing transcendental math functions (cos, sin, acos, and more....) using 100% AVX/Neon instructions (no branching)

  2. sin(x), cos(x) calculation using CORDIC algorithm and BCD arbitrary precision math.

  3. SSE2 implementations of sin, cos, exp, log, tan, cot, atan, atan2 The sin, cos, exp and log functions were written by Julien Pommier (see unmodified sse_mathfun.h). The tan, cot, atan, atan2 are written by Tolga Mizrak.

  4. //compute cosine: sin(x + PI/2) = cos(x) x += 1.57079632; if (x > 3.14159265) x -= 6.28318531; if (x < 0) cos = 1.27323954 * x + 0.405284735 * x * x: else: cos = 1.27323954 * x - 0.405284735 * x * x;} /***** * high precision sine/cosine *****/ //always wrap input angle to -PI..PI: if (x < -3.14159265) x += 6.28318531; else: if (x > 3.14159265 ...

  5. So far we have calculated sine and cosine values with Python. In this chapter we'll learn how these functions work, and we'll also write our own sin and cos implementations that would be good enough for pretty much everything. This tutorial uses radians, unit circle trig and derivatives. Be sure to learn these things first. Polynomials and stuff ¶.

  6. 4 lip 2024 · One definition uses the power series for the real sine and cosine: sin(x)=x−3!x3+5!x5−7!x7+… cos(x)=1−2!x2+4!x4−6!x6+… Take the same power series, and allow the value of x to be a complex number. That’s it!

  7. I managed to implement the float port cosine, and rewrote above code as following, which can make Taylor's series more scalable, although 7 times works well for float. float c_cos(float x) {const float pi = 3.1415927;

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