Version 7 (modified by 11 years ago) (diff) | ,
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Remez tutorial 1/5: exp(x) the quick way
This is a hands-on example of the Lol Remez toolkit.
In this section we are going to approximate the exp(x) function using a polynomial.
Getting started
If you do not have the full Lol Engine source code, download and unpack the latest LolRemez tarball.
The file you should edit is remez.cpp
.
Source code
#include "lol/math/real.h" #include "lol/math/remez.h" using lol::real; using lol::RemezSolver; real f(real const &x) { return exp(x); } int main(int argc, char **argv) { RemezSolver<4, real> solver; solver.Run(-1, 1, f, 30); return 0; }
What does this mean?
- we declare function
f
which returns the exponential of 'x'. - we create a
RemezSolver
object for 4th-degree polynomials and real numbers. - we run the solver on the [-1,1] range, approximating function
f
for 30 iterations.
Compilation
If you are using LolRemez, just put the above source code in remez.cpp
and type:
make
Execution
To launch the test, type:
./remez
After all the iterations the output should be as follows:
Final error: 5.462771976237482581009771665937582411463e-4 Polynomial estimate: x**0*1.000090756764725753887362987792025308996 +x**1*9.973086551667860566788019540269306006270e-1 +x**2*4.988332174505582284710918757571761729419e-1 +x**3*1.773462612793916519454714108029230813767e-1 +x**4*4.415666059995979611944324860870682575219e-2
Using the results
The above results can be used in a more CPU-friendly implementation such as the following one:
double fastexp(double x) { const double a0 = 1.000090756764725753887362987792025308996; const double a1 = 9.973086551667860566788019540269306006270e-1; const double a2 = 4.988332174505582284710918757571761729419e-1; const double a3 = 1.773462612793916519454714108029230813767e-1; const double a4 = 4.415666059995979611944324860870682575219e-2; return a0 + x * (a1 + x * (a2 + x * (a3 + x * a4))); }
Analysing the results
Plotting the real exponential function and our fastexp
function gives the following curves:
The curves are undistinguishable. Actually they differ by no more than 5.462772e-4, which is the value the ./remez
output gave.
It can be verified on the following error curve:
Conclusion
You should now be all set up for your own minimax polynomial computation!
Please report any trouble you may have had with this document to sam@hocevar.net. You may then carry on to the next section: switching to relative error.
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