# include "sandia_rules.hpp"
# include "sgmga.hpp"

# include <cstdlib>
# include <iomanip>
# include <iostream>
# include <cmath>

int main ( );

void sgmga_write_tests ( );
void sgmga_write_test ( int dim_num, double level_weight[], int level_max, 
  int rule[], int growth[], int np[], double p[], 
  void ( *gw_compute_points[] ) ( int order, int np, double p[], double w[] ),
  void ( *gw_compute_weights[] ) ( int order, int np, double p[], double w[] ),
  double tol, std::string file_name );

typedef void ( *GWPointer ) ( int order, int np, double p[], double w[] );

//****************************************************************************80

int main ( )

//****************************************************************************80
//
//  Purpose:
//
//    MAIN is the main program for SGMGA_WRITE_TEST.
//
//  Discussion:
//
//    SGMGA_WRITE_TEST tests the SGMGA_WRITE function.
//
//  Licensing:
//
//    This code is distributed under the GNU LGPL license.
//
//  Modified:
//
//    27 November 2009
//
//  Author:
//
//    John Burkardt
//
{
  webbur::timestamp ( );
  std::cout << "\n";
  std::cout << "SGMGA_WRITE_TEST\n";
  std::cout << "  C++ version\n";
  std::cout << "  Test the SGMGA_WRITE function.\n";
//
//  Generate sparse grid rules and write them to files.
//
  sgmga_write_tests ( );
//
//  That's all.
//
  std::cout << "\n";
  std::cout << "SGMGA_WRITE_TEST\n";
  std::cout << "  Normal end of execution.\n";

  std::cout << "\n";
  webbur::timestamp ( );
  
  return 0;
}
//****************************************************************************80

void sgmga_write_tests ( )

//****************************************************************************80
//
//  Purpose:
//
//    SGMGA_WRITE_TESTS calls SGMGA_WRITE_TEST.
//
//  Discussion:
//  
//    We can't test Golub-Welsch rules in this routine, because the program
//    that writes out the files needs to know the integration region for each
//    component, and we have not specified how that would be done with 
//    Golub Welsch rules.
//
//  Licensing:
//
//    This code is distributed under the GNU LGPL license.
//
//  Modified:
//
//    20 June 2010
//
//  Author:
//
//    John Burkardt
//
//  Local Parameters:
//
//    Local, double TOL, a tolerance for point equality.
//    A value of sqrt ( eps ) is reasonable, and will allow the code to
//    consolidate points which are equal, or very nearly so.  A value of
//    -1.0, on the other hand, will force the code to use every point, 
//    regardless of duplication.
//
{
  int dim;
  int dim_num;
  std::string file_name;
  int *growth;
  GWPointer *gw_compute_points;
  GWPointer *gw_compute_weights;
  double *importance;
  int level_max;
  int level_max_max;
  int level_max_min;
  double *level_weight;
  int *np;
  int np_sum;
  int *order_1d;
  int order_nd;
  double *p;
  int *rule;
  double tol;

  std::cout << "\n";
  std::cout << "SGMGA_WRITE_TESTS\n";
  std::cout << "  Call SGMGA_WRITE_TEST with various arguments.\n";
//
//  Set the point equality tolerance.
//
  tol = std::sqrt ( webbur::r8_epsilon ( ) );
  std::cout << "\n";
  std::cout << "  All tests will use a point equality tolerance of " << tol << "\n";

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = 1.0;
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d2_l2_ccxcc_iso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d2_l2_ccxcc_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 3;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = 1.0;
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  rule[2] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  growth[2] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np[2] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[2] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[2] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d3_l2_ccxccxcc_iso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 3;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  rule[2] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  growth[2] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np[2] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[2] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[2] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d3_l2_ccxccxcc_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 3;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 3;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::patterson_lookup_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::patterson_lookup_weights_np;
  file_name = "sgmga_d2_l3_ccxgp_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 4;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 3;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::legendre_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::legendre_compute_weights_np;
  file_name = "sgmga_d2_l2_ccxgl_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 7;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 3;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::laguerre_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::laguerre_compute_weights_np;
  file_name = "sgmga_d2_l2_ccxlg_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 8;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 3;
  np = new int[dim_num];
  np[0] = 1;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  p[0] = 1.5;
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::gen_laguerre_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::gen_laguerre_compute_weights_np;
  file_name = "sgmga_d2_l2_ccxglg_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 2;
  rule[1] = 9;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 3;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 2;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  p[0] = 0.5;
  p[1] = 1.5;
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::fejer2_compute_points_np;
  gw_compute_points[1] = webbur::jacobi_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::fejer2_compute_weights_np;
  gw_compute_weights[1] = webbur::jacobi_compute_weights_np;
  file_name = "sgmga_d2_l2_f2xgj_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 6;
  rule[1] = 10;
  growth = new int[dim_num];
  growth[0] = 3;
  growth[1] = 4;
  np = new int[dim_num];
  np[0] = 1;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  p[0] = 2.0;
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::gen_hermite_compute_points_np;
  gw_compute_points[1] = webbur::legendre_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::gen_hermite_compute_weights_np;
  gw_compute_weights[1] = webbur::legendre_compute_weights_np;
  file_name = "sgmga_d2_l2_gghxhgk_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  LEVEL_MAX = 1
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 1;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d2_l1_ccxcc_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  LEVEL_MAX = 2 (already done)
//
//  LEVEL_MAX = 3
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 3;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d2_l3_ccxcc_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  LEVEL_MAX = 4
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 4;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d2_l4_ccxcc_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  LEVEL_MAX = 5
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 5;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 1;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::clenshaw_curtis_compute_weights_np;
  file_name = "sgmga_d2_l5_ccxcc_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  Dimension 3
//
  dim_num = 3;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = ( double ) ( dim + 1 );
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 2;
  rule = new int[dim_num];
  rule[0] = 1;
  rule[1] = 4;
  rule[2] = 5;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 3;
  growth[2] = 3;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np[2] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::clenshaw_curtis_compute_points_np;
  gw_compute_points[1] = webbur::legendre_compute_points_np;
  gw_compute_points[2] = webbur::hermite_compute_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::clenshaw_curtis_compute_weights_np;
  gw_compute_weights[1] = webbur::legendre_compute_weights_np;
  gw_compute_weights[2] = webbur::hermite_compute_weights_np;
  file_name = "sgmga_d3_l2_ccxglxgh_aniso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  Rule 3, LEVEL_MAX = 4
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = 1.0;
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 4;
  rule = new int[dim_num];
  rule[0] = 3;
  rule[1] = 3;
  growth = new int[dim_num];
  growth[0] = 6;
  growth[1] = 6;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::patterson_lookup_points_np;
  gw_compute_points[1] = webbur::patterson_lookup_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::patterson_lookup_weights_np;
  gw_compute_weights[1] = webbur::patterson_lookup_weights_np;
  file_name = "sgmga_d2_l4_gpxgp_iso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  Rule 3, Slow Exponential Growth, LEVEL_MAX = 4
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = 1.0;
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 4;
  rule = new int[dim_num];
  rule[0] = 3;
  rule[1] = 3;
  growth = new int[dim_num];
  growth[0] = 4;
  growth[1] = 4;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::patterson_lookup_points_np;
  gw_compute_points[1] = webbur::patterson_lookup_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::patterson_lookup_weights_np;
  gw_compute_weights[1] = webbur::patterson_lookup_weights_np;
  file_name = "sgmga_d2_l4_gpsexgpse_iso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;
//
//  Rule 3, Moderate Exponential Growth, LEVEL_MAX = 4
//
  dim_num = 2;
  importance = new double[dim_num];
  for ( dim = 0; dim < dim_num; dim++ )
  {
    importance[dim] = 1.0;
  }
  level_weight = new double[dim_num];
  webbur::sgmga_importance_to_aniso ( dim_num, importance, level_weight );
  level_max = 4;
  rule = new int[dim_num];
  rule[0] = 3;
  rule[1] = 3;
  growth = new int[dim_num];
  growth[0] = 5;
  growth[1] = 5;
  np = new int[dim_num];
  np[0] = 0;
  np[1] = 0;
  np_sum = webbur::i4vec_sum ( dim_num, np );
  p = new double[np_sum];
  gw_compute_points = new GWPointer[dim_num];
  gw_compute_points[0] = webbur::patterson_lookup_points_np;
  gw_compute_points[1] = webbur::patterson_lookup_points_np;
  gw_compute_weights = new GWPointer[dim_num];
  gw_compute_weights[0] = webbur::patterson_lookup_weights_np;
  gw_compute_weights[1] = webbur::patterson_lookup_weights_np;
  file_name = "sgmga_d2_l4_gpmexgpme_iso";
  sgmga_write_test ( dim_num, level_weight, level_max, rule, growth, np, 
    p, gw_compute_points, gw_compute_weights, tol, file_name );
  delete [] growth;
  delete [] gw_compute_points;
  delete [] gw_compute_weights;
  delete [] importance;
  delete [] level_weight;
  delete [] np;
  delete [] p;
  delete [] rule;

  return;
}
//***************************************************************************80

void sgmga_write_test ( int dim_num, double level_weight[], int level_max, 
  int rule[], int growth[], int np[], double p[], 
  void ( *gw_compute_points[] ) ( int order, int np, double p[], double w[] ),
  void ( *gw_compute_weights[] ) ( int order, int np, double p[], double w[] ),
  double tol, std::string file_name )

//***************************************************************************80
//
//  Purpose:
//
//    SGMGA_WRITE_TEST tests SGMGA_WRITE.
//
//  Licensing:
//
//    This code is distributed under the GNU LGPL license.
//
//  Modified:
//
//    07 June 2010
//
//  Author:
//
//    John Burkardt
//
//  Parameters:
//
//    Input, integer DIM_NUM, the spatial dimension.
//
//    Input, double LEVEL_WEIGHT[DIM_NUM], the weights for each dimension.
//
//    Input, integer LEVEL_MAX, the level that defines the grid.
//
//    Input, int RULE[DIM_NUM], the rule in each dimension.
//     1, "CC",  Clenshaw Curtis, Closed Fully Nested.
//     2, "F2",  Fejer Type 2, Open Fully Nested.
//     3, "GP",  Gauss Patterson, Open Fully Nested.
//     4, "GL",  Gauss Legendre, Open Weakly Nested.
//     5, "GH",  Gauss Hermite, Open Weakly Nested.
//     6, "GGH", Generalized Gauss Hermite, Open Weakly Nested.
//     7, "LG",  Gauss Laguerre, Open Non Nested.
//     8, "GLG", Generalized Gauss Laguerre, Open Non Nested.
//     9, "GJ",  Gauss Jacobi, Open Non Nested.
//    10, "HGK", Hermite Genz-Keister, Open Fully Nested.
//    11, "UO",  User supplied Open, presumably Non Nested.
//    12, "UC",  User supplied Closed, presumably Non Nested.
//
//    Input, int GROWTH[DIM_NUM], the desired growth in each dimension.
//    0, "DF", default growth associated with this quadrature rule;
//    1, "SL", slow linear, L+1;
//    2  "SO", slow linear odd, O=1+2((L+1)/2)
//    3, "ML", moderate linear, 2L+1;
//    4, "SE", slow exponential;
//    5, "ME", moderate exponential;
//    6, "FE", full exponential.
//
//    Input, int NP[RULE_NUM], the number of parameters used by each rule.
//
//    Input, double P[sum(NP[*])], the parameters needed by each rule.
//
//    Input, void ( *GW_COMPUTE_POINTS[] ) ( int order, int np, double p[], double x[] ),
//    an array of pointers to functions which return the 1D quadrature points 
//    associated with each spatial dimension for which a Golub Welsch rule 
//    is used.
//
//    Input, void ( *GW_COMPUTE_WEIGHTS[] ) ( int order, int np, double p[], double w[] ),
//    an array of pointers to functions which return the 1D quadrature weights 
//    associated with each spatial dimension for which a Golub Welsch rule 
//    is used.
//
//    Input, double TOL, a tolerance for point equality.
//
//    Input, string FILE_NAME, the main name of the output files.
//
{
  int point_num;
  int point_total_num;
  int *sparse_index;
  int *sparse_order;
  double *sparse_point;
  int *sparse_unique_index;
  double *sparse_weight;

  std::cout << "\n";
  std::cout << "SGMGA_WRITE_TEST\n";
  std::cout << "  SGMGA_WRITE writes a sparse grid rule to files.\n";
//
//  Compute necessary data.
//
  point_total_num = webbur::sgmga_size_total ( dim_num, level_weight,
    level_max, rule, growth );

  point_num = webbur::sgmga_size ( dim_num, level_weight, level_max, 
    rule, np, p, gw_compute_points, tol, growth );

  sparse_unique_index = new int[point_total_num];

  webbur::sgmga_unique_index ( dim_num, level_weight, level_max, rule, 
    np, p, gw_compute_points, tol, point_num, point_total_num, 
    growth, sparse_unique_index );

  sparse_order = new int[dim_num*point_num];
  sparse_index = new int[dim_num*point_num];

  webbur::sgmga_index ( dim_num, level_weight, level_max, rule, point_num, 
    point_total_num, sparse_unique_index, growth, sparse_order, sparse_index );
//
//  Compute points and weights.
//
  sparse_point = new double [ dim_num * point_num ];

  webbur::sgmga_point ( dim_num, level_weight, level_max, rule, np, 
    p, gw_compute_points, point_num, sparse_order, sparse_index, 
    growth, sparse_point );

  sparse_weight = new double[point_num];

  webbur::sgmga_weight ( dim_num, level_weight, level_max, rule, np, 
    p, gw_compute_weights, point_num, point_total_num, sparse_unique_index, 
    growth, sparse_weight );
//
//  Write points and weights to files.
//
  webbur::sgmga_write ( dim_num, level_weight, rule, np, p, 
    point_num, sparse_weight, sparse_point, file_name );

  delete [] sparse_index;
  delete [] sparse_order;
  delete [] sparse_point;
  delete [] sparse_unique_index;
  delete [] sparse_weight;

  return;
}