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+// Use, modification and distribution are subject to the
+// Boost Software License, Version 1.0.
+// (See accompanying file LICENSE_1_0.txt
+// or copy at http://www.boost.org/LICENSE_1_0.txt)
+
+// Copyright Paul A. Bristow 2013.
+// Copyright Christopher Kormanyos 2012, 2013.
+// Copyright John Maddock 2013.
+
+// This file is written to be included from a Quickbook .qbk document.
+// It can be compiled by the C++ compiler, and run. Any output can
+// also be added here as comment or included or pasted in elsewhere.
+// Caution: this file contains Quickbook markup as well as code
+// and comments: don't change any of the special comment markups!
+
+#ifdef _MSC_VER
+#  pragma warning (disable : 4996)  // -D_SCL_SECURE_NO_WARNINGS.
+#endif
+
+//[fft_sines_table_example_1
+
+/*`[h5 Using Boost.Multiprecision to generate a high-precision array of sine coefficents for use with FFT.]
+
+The Boost.Multiprecision library can be used for computations requiring precision
+exceeding that of standard built-in types such as `float`, `double`
+and `long double`. For extended-precision calculations, Boost.Multiprecision
+supplies a template data type called `cpp_bin_float`. The number of decimal
+digits of precision is fixed at compile-time via a template parameter.
+
+One often needs to compute tables of numbers in mathematical software.
+To avoid the
+[@https://en.wikipedia.org/wiki/Rounding#Table-maker's_dilemma Table-maker's dilemma]
+it is necessary to use a higher precision type to compute the table values so that they have
+the nearest representable bit-pattern for the type, say `double`, of the table value.
+
+This example is a program `fft_since_table.cpp` that writes a header file `sines.hpp`
+containing an array of sine coefficients for use with a Fast Fourier Transform (FFT),
+that can be included by the FFT program.
+
+To use Boost.Multiprecision's high-precision floating-point types and constants, we need some includes:
+*/
+#include <boost/math/constants/constants.hpp>
+// using boost::math::constants::pi;
+
+#include <boost/multiprecision/cpp_bin_float.hpp> // for
+// using boost::multiprecision::cpp_bin_float and
+// using boost::multiprecision::cpp_bin_float_50;
+// using boost::multiprecision::cpp_bin_float_quad;
+
+#include <boost/array.hpp> // or <array> for std::array
+
+#include <iostream>
+#include <limits>
+#include <vector>
+#include <algorithm>
+#include <iomanip>
+#include <iterator>
+#include <fstream>
+
+/*`First, this example defines a prolog text string which is a C++ comment with the program licence, copyright etc.
+(You would of course, tailor this to your needs, including *your* copyright claim).
+This will appear at the top of the written header file `sines.hpp`.
+*/
+
+//] [fft_sines_table_example_1]
+
+static const char* prolog =
+{
+  "// Use, modification and distribution are subject to the\n"
+  "// Boost Software License, Version 1.0.\n"
+  "// (See accompanying file LICENSE_1_0.txt\n"
+  "// or copy at ""http://www.boost.org/LICENSE_1_0.txt)\n\n"
+
+  "// Copyright A N Other, 2019.\n\n"
+};
+
+//[fft_sines_table_example_2
+
+using boost::multiprecision::cpp_bin_float_50;
+using boost::math::constants::pi;
+
+//] [fft_sines_table_example_2]
+
+// VS 2010 (wrongly) requires these at file scope, not local scope in `main`.
+// This program also requires `-std=c++11` option to compile using Clang and GCC.
+
+int main()
+{
+//[fft_sines_table_example_3
+/*`A fast Fourier transform (FFT), for example, may use a table of the values of
+sin(([pi]/2[super n]) in its implementation details. In order to maximize the precision in
+the FFT implementation, the precision of the tabulated trigonometric values
+should exceed that of the built-in floating-point type used in the FFT.
+
+The sample below computes a table of the values of sin([pi]/2[super n])
+in the range 1  <= n <= 31.
+
+This program makes use of, among other program elements, the data type
+`boost::multiprecision::cpp_bin_float_50`
+for a precision of 50 decimal digits from Boost.Multiprecision,
+the value of constant [pi] retrieved from Boost.Math,
+guaranteed to be initialized with the very last bit of precision for the type,
+here `cpp_bin_float_50`,
+and a C++11 lambda function combined with `std::for_each()`.
+*/
+
+/*`define the number of values (32) in the array of sines.
+*/
+
+  std::size_t size = 32U;
+  //cpp_bin_float_50 p = pi<cpp_bin_float_50>();
+  cpp_bin_float_50 p = boost::math::constants::pi<cpp_bin_float_50>();
+
+  std::vector <cpp_bin_float_50> sin_values (size);
+  unsigned n = 1U;
+  // Generate the sine values.
+  std::for_each
+  (
+    sin_values.begin (),
+    sin_values.end (),
+    [&n](cpp_bin_float_50& y)
+    {
+      y = sin( pi<cpp_bin_float_50>() / pow(cpp_bin_float_50 (2), n));
+      ++n;
+    }
+  );
+
+/*`Define the floating-point type for the generated file, either built-in
+`double, `float, or `long double`, or a user defined type like `cpp_bin_float_50`.
+*/
+
+std::string fp_type = "double";
+
+std::cout << "Generating an `std::array` or `boost::array` for floating-point type: "
+  << fp_type << ". " << std::endl;
+
+/*`By default, output would only show the standard 6 decimal digits,
+so set precision to show enough significant digits for the chosen floating-point type.
+For `cpp_bin_float_50` is 50. (50 decimal digits should be ample for most applications).
+
+*/
+  std::streamsize precision = std::numeric_limits<cpp_bin_float_50>::digits10;
+
+  std::cout << "Sines table precision is " << precision << " decimal digits. " << std::endl;
+
+/*`Of course, one could also choose a lower precision for the table values, for example,
+
+`std::streamsize precision = std::numeric_limits<cpp_bin_float_quad>::max_digits10;`
+
+128-bit 'quad' precision of 36 decimal digits would be sufficient
+for the most precise current `long double` implementations using 128-bit.
+In general, it should be a couple of decimal digits more (guard digits) than
+`std::numeric_limits<RealType>::max_digits10` for the target system floating-point type.
+(If the implementation does not provide `max_digits10`, the the Kahan formula
+`std::numeric_limits<RealType>::digits * 3010/10000 + 2` can be used instead).
+
+The compiler will read these values as decimal digits strings and
+use the nearest representation for the floating-point type.
+
+Now output all the sine table, to a file of your chosen name.
+*/
+  const char sines_name[] = "sines.hpp";  // Assuming in same directory as .exe
+
+  std::ofstream fout(sines_name, std::ios_base::out);  // Creates if no file exists,
+  // & uses default overwrite/ ios::replace.
+  if (fout.is_open() == false)
+  {  // failed to open OK!
+    std::cout << "Open file " << sines_name << " failed!" << std::endl;
+    return EXIT_FAILURE;
+  }
+  else
+  { // Write prolog etc as a C++ comment.
+    std::cout << "Open file " << sines_name << " for output OK." << std::endl;
+    fout << prolog
+    << "// Table of " << sin_values.size() << " values with "
+      << precision << " decimal digits precision,\n"
+      "// generated by program fft_sines_table.cpp.\n" << std::endl;
+
+  fout << "#include <array> // std::array" << std::endl;
+
+  // Write the table of sines as a C++ array.
+    fout <<  "\nstatic const std::array<double, " << size << "> sines =\n"
+    "{{\n"; // 2nd { needed for some old GCC compiler versions.
+    fout.precision(precision);
+
+    for (unsigned int i = 0U; ;)
+    {
+      fout << "  " << sin_values[i];
+      if (i == sin_values.size()-1)
+      { // next is last value.
+        fout << "\n}};  // array sines\n"; // 2nd } needed for some old GCC compiler versions.
+        break;
+      }
+      else
+      {
+        fout << ",\n";
+        i++;
+      }
+    } // for
+
+    fout.close();
+    std::cout << "Closed file " << sines_name << " for output." << std::endl;
+  }
+//`The output file generated can be seen at [@../../example/sines.hpp]
+
+//] [/fft_sines_table_example_3]
+
+  return EXIT_SUCCESS;
+
+} // int main()
+
+/*
+//[fft_sines_table_example_output
+
+The printed table is:
+
+  1
+  0.70710678118654752440084436210484903928483593768847
+  0.38268343236508977172845998403039886676134456248563
+  0.19509032201612826784828486847702224092769161775195
+  0.098017140329560601994195563888641845861136673167501
+  0.049067674327418014254954976942682658314745363025753
+  0.024541228522912288031734529459282925065466119239451
+  0.012271538285719926079408261951003212140372319591769
+  0.0061358846491544753596402345903725809170578863173913
+  0.003067956762965976270145365490919842518944610213452
+  0.0015339801862847656123036971502640790799548645752374
+  0.00076699031874270452693856835794857664314091945206328
+  0.00038349518757139558907246168118138126339502603496474
+  0.00019174759731070330743990956198900093346887403385916
+  9.5873799095977345870517210976476351187065612851145e-05
+  4.7936899603066884549003990494658872746866687685767e-05
+  2.3968449808418218729186577165021820094761474895673e-05
+  1.1984224905069706421521561596988984804731977538387e-05
+  5.9921124526424278428797118088908617299871778780951e-06
+  2.9960562263346607504548128083570598118251878683408e-06
+  1.4980281131690112288542788461553611206917585861527e-06
+  7.4901405658471572113049856673065563715595930217207e-07
+  3.7450702829238412390316917908463317739740476297248e-07
+  1.8725351414619534486882457659356361712045272098287e-07
+  9.3626757073098082799067286680885620193236507169473e-08
+  4.681337853654909269511551813854009695950362701667e-08
+  2.3406689268274552759505493419034844037886207223779e-08
+  1.1703344634137277181246213503238103798093456639976e-08
+  5.8516723170686386908097901008341396943900085051757e-09
+  2.9258361585343193579282304690689559020175857150074e-09
+  1.4629180792671596805295321618659637103742615227834e-09
+*/
+
+//]  [/fft_sines_table_example_output]
+
+//[fft_sines_table_example_check
+
+/*`
+The output can be copied as text and readily integrated into a given source
+code. Alternatively, the output can be written to a text or even be used
+within a self-written automatic code generator as this example.
+
+A computer algebra system can be used to verify the results obtained from
+Boost.Math and Boost.Multiprecision. For example, the __Mathematica
+computer algebra system can obtain a similar table with the command:
+
+  Table[N[Sin[Pi / (2^n)], 50], {n, 1, 31, 1}]
+
+The __WolframAlpha computational knowledge engine can also be used to generate
+this table. The same command can be pasted into the compute box.
+
+*/
+
+//] [/fft_sines_table_example_check]