boost/math
2
0
Fork 0
mirror of https://github.com/boostorg/math.git synced 2026-01-19 04:22:09 +00:00
Code Issues Projects Releases Wiki Activity

Removed unwanted example of divergence

Browse Source
This commit is contained in:
pabristow
2019-07-09 13:09:15 +01:00
parent eb63dcff5e
commit 2e246d1076
1 changed files with 0 additions and 28 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
example/ooura_fourier_integrals_multiprecision_example.cpp
View File

@@ -22,8 +22,6 @@
#include <iostream>
#include <exception>
//typedef boost::multiprecision::cpp_bin_float_50 Real;
int main()
{
try
@@ -97,30 +95,4 @@ pi/(2e) = 5.778636748954608589550465916563481e-01, difference -6.74075480535532
``
//] [/ooura_fourier_integrals_example_multiprecision_diagnostic_output_1]
Example of it going wrong below
>ooura_fourier_cos with relative error goal 1.925929944387235853055977942584927319e-34 & 15 levels.
1>epsilon for type = 1.925929944387235853055977942584927319e-34
1>h = 1.000000000000000000000000000000000, I_h = 0.588268622591776615359568690603776 = 0.5882686225917766153595686906037760, absolute error estimate = nan
1>h = 0.500000000000000000000000000000000, I_h = 0.577871642184837461311756940493259 = 0.5778716421848374613117569404932595, absolute error estimate = 1.039698040693915404781175011051656e-02
1>h = 0.250000000000000000000000000000000, I_h = 0.577863671186882539559996800783122 = 0.5778636711868825395599968007831220, absolute error estimate = 7.970997954921751760139710137450075e-06
1>h = 0.125000000000000000000000000000000, I_h = 0.577863674895460885593491133506723 = 0.5778636748954608855934911335067232, absolute error estimate = 3.708578346033494332723601147051768e-09
1>h = 0.062500000000000000000000000000000, I_h = 0.577863674895460858955046591656350 = 0.5778636748954608589550465916563502, absolute error estimate = 2.663844454185037302771663314961535e-17
1>h = 0.031250000000000000000000000000000, I_h = 0.577863674895460858955046591656348 = 0.5778636748954608589550465916563484, absolute error estimate = 1.733336949948512267750380148326435e-33
1>h = 0.015625000000000000000000000000000, I_h = 0.577863674895460858955046591656348 = 0.5778636748954608589550465916563479, absolute error estimate = 4.814824860968089632639944856462318e-34
1>h = 0.007812500000000000000000000000000, I_h = 0.577863674895460858955046591656347 = 0.5778636748954608589550465916563473, absolute error estimate = 6.740754805355325485695922799047246e-34
1>h = 0.003906250000000000000000000000000, I_h = 0.577863674895460858955046591656347 = 0.5778636748954608589550465916563475, absolute error estimate = 1.925929944387235853055977942584927e-34
1>h = 0.001953125000000000000000000000000, I_h = 0.577863674895460858955046591656346 = 0.5778636748954608589550465916563463, absolute error estimate = 1.155557966632341511833586765550956e-33
1>h = 0.000976562500000000000000000000000, I_h = 0.577863674895460858955046591656350 = 0.5778636748954608589550465916563504, absolute error estimate = 4.140749380432557084070352576557594e-33
1>h = 0.000488281250000000000000000000000, I_h = 0.577863674895460858955046591656348 = 0.5778636748954608589550465916563478, absolute error estimate = 2.600005424922768401625570222489652e-33
1>h = 0.000244140625000000000000000000000, I_h = 0.577863674895460858955046591656342 = 0.5778636748954608589550465916563418, absolute error estimate = 6.066679324819792937126330519142521e-33
1>h = 0.000122070312500000000000000000000, I_h = 0.577863674895460858955046591656347 = 0.5778636748954608589550465916563467, absolute error estimate = 4.911121358187451425292743753591565e-33
1>h = 0.000061035156250000000000000000000, I_h = 0.577863674895460858955046591656342 = 0.5778636748954608589550465916563424, absolute error estimate = 4.333342374871280669375950370816086e-33
1>h = 0.000030517578125000000000000000000, I_h = 0.577863674895460858955046591656328 = 0.5778636748954608589550465916563282, absolute error estimate = 1.415558509124618351996143787799922e-32
*/