# include # include # include # include # include # include # include using namespace std; int main ( int argc, char *argv[] ); double *ccn_compute_points_new ( int n ); int i4_min ( int i1, int i2 ); double *nc_compute_new ( int n, double x_min, double x_max, double x[] ); void r8mat_write ( string output_filename, int m, int n, double table[] ); void rescale ( double a, double b, int n, double x[], double w[] ); void rule_write ( int order, string filename, double x[], double w[], double r[] ); void timestamp ( ); //****************************************************************************80 int main ( int argc, char *argv[] ) //****************************************************************************80 // // Purpose: // // MAIN is the main program for CCN_RULE. // // Discussion: // // This program computes a nested Clenshaw Curtis quadrature rule // and writes it to a file. // // The user specifies: // * N, the number of points in the rule; // * A, the left endpoint; // * B, the right endpoint; // * FILENAME, which defines the output filenames. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 06 March 2011 // // Author: // // John Burkardt // { double a; double b; string filename; int n; double *r; double *w; double *x; double x_max; double x_min; timestamp ( ); cout << "\n"; cout << "CCN_RULE\n"; cout << " C++ version\n"; cout << " Compiled on " << __DATE__ << " at " << __TIME__ << ".\n"; cout << "\n"; cout << " Compute one of a family of nested Clenshaw Curtis rules\n"; cout << " for approximating\n"; cout << " Integral ( -1 <= x <= +1 ) f(x) dx\n"; cout << " of order N.\n"; cout << "\n"; cout << " The user specifies N, A, B and FILENAME.\n"; cout << "\n"; cout << " N is the number of points.\n"; cout << " A is the left endpoint.\n"; cout << " B is the right endpoint.\n"; cout << " FILENAME is used to generate 3 files:\n"; cout << " filename_w.txt - the weight file\n"; cout << " filename_x.txt - the abscissa file.\n"; cout << " filename_r.txt - the region file.\n"; // // Get N. // if ( 1 < argc ) { n = atoi ( argv[1] ); } else { cout << "\n"; cout << " Enter the value of N (1 or greater)\n"; cin >> n; } // // Get A. // if ( 2 < argc ) { a = atof ( argv[2] ); } else { cout << "\n"; cout << " Enter the left endpoint A:\n"; cin >> a; } // // Get B. // if ( 3 < argc ) { b = atof ( argv[3] ); } else { cout << "\n"; cout << " Enter the right endpoint B:\n"; cin >> b; } // // Get FILENAME: // if ( 4 < argc ) { filename = argv[4]; } else { cout << "\n"; cout << " Enter FILENAME, the \"root name\" of the quadrature files.\n"; cin >> filename; } // // Input summary. // cout << "\n"; cout << " N = " << n << "\n"; cout << " A = " << a << "\n"; cout << " B = " << b << "\n"; cout << " FILENAME = \"" << filename << "\".\n"; // // Construct the rule. // r = new double[2]; r[0] = a; r[1] = b; x = ccn_compute_points_new ( n ); x_min = -1.0; x_max = +1.0; w = nc_compute_new ( n, x_min, x_max, x ); // // Rescale the rule. // rescale ( a, b, n, x, w ); // // Output the rule. // rule_write ( n, filename, x, w, r ); // // Free memory. // delete [] r; delete [] w; delete [] x; // // Terminate. // cout << "\n"; cout << "CCN_RULE:\n"; cout << " Normal end of execution.\n"; cout << "\n"; timestamp ( ); return 0; } //****************************************************************************80 double *ccn_compute_points_new ( int n ) //****************************************************************************80 // // Purpose: // // CCN_COMPUTE_POINTS: compute Clenshaw Curtis Nested points. // // Discussion: // // We want to compute the following sequence: // // 1/2, // 0, 1 // 1/4, 3/4 // 1/8, 3/8, 5/8, 7/8, // 1/16, 3/16, 5/16, 7/16, 9/16, 11/16, 13/16, 15/16, and so on. // // But we would prefer that the numbers in each row be regrouped in pairs // that are symmetric about 1/2, with the number above 1/2 coming first. // Thus, the last row might become: // (9/16, 7/16), (11/16, 5/16), ..., (15/16, 1/16). // // Once we have our sequence, we apply the Chebyshev transformation // which maps [0,1] to [-1,+1]. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 06 March 2011 // // Author: // // John Burkardt // // Parameters: // // Input, int N, the number of elements to compute. // // Output, double CCN_COMPUTE_POINTS_NEW[N], the elements of the sequence. // { int d; int i; int k; int m; double pi = 3.141592653589793; int td; int tu; double *x; x = new double[n]; // // Handle first three entries specially. // if ( 1 <= n ) { x[0] = 0.5; } if ( 2 <= n ) { x[1] = 1.0; } if ( 3 <= n ) { x[2] = 0.0; } m = 3; d = 2; while ( m < n ) { tu = d + 1; td = d - 1; k = i4_min ( d, n - m ); for ( i = 1; i <= k; i++ ) { if ( ( i % 2 ) == 1 ) { x[m+i-1] = tu / 2.0 / ( double ) ( k ); tu = tu + 2; } else { x[m+i-1] = td / 2.0 / ( double ) ( k ); td = td - 2; } } m = m + k; d = d * 2; } // // Apply the Chebyshev transformation. // for ( i = 0; i < n; i++ ) { x[i] = cos ( x[i] * pi ); } x[0] = 0.0; if ( 2 <= n ) { x[1] = -1.0; } if ( 3 <= n ) { x[2] = +1.0; } return x; } //****************************************************************************80 int i4_min ( int i1, int i2 ) //****************************************************************************80 // // Purpose: // // I4_MIN returns the minimum of two I4's. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 13 October 1998 // // Author: // // John Burkardt // // Parameters: // // Input, int I1, I2, two integers to be compared. // // Output, int I4_MIN, the smaller of I1 and I2. // { int value; if ( i1 < i2 ) { value = i1; } else { value = i2; } return value; } //****************************************************************************80 double *nc_compute_new ( int n, double x_min, double x_max, double x[] ) //****************************************************************************80 // // Purpose: // // NC_COMPUTE_NEW computes a Newton-Cotes quadrature rule. // // Discussion: // // For the interval [X_MIN,X_MAX], the Newton-Cotes quadrature rule // estimates // // Integral ( X_MIN <= X <= X_MAX ) F(X) dX // // using N abscissas X and weights W: // // Sum ( 1 <= I <= N ) W(I) * F ( X(I) ). // // For the CLOSED rule, the abscissas include the end points. // For the OPEN rule, the abscissas do not include the end points. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 17 November 2009 // // Author: // // John Burkardt // // Parameters: // // Input, int N, the order. // // Input, double X_MIN, X_MAX, the endpoints of the interval. // // Input, double X[N], the abscissas. // // Output, double NC_COMPUTE_NEW[N], the weights. // { double *d; int i; int j; int k; double *w; double yvala; double yvalb; d = new double[n]; w = new double[n]; for ( i = 0; i < n; i++ ) { // // Compute the Lagrange basis polynomial which is 1 at XTAB(I), // and zero at the other nodes. // for ( j = 0; j < n; j++ ) { d[j] = 0.0; } d[i] = 1.0; for ( j = 2; j <= n; j++ ) { for ( k = j; k <= n; k++ ) { d[n+j-k-1] = ( d[n+j-k-1-1] - d[n+j-k-1] ) / ( x[n+1-k-1] - x[n+j-k-1] ); } } for ( j = 1; j <= n - 1; j++ ) { for ( k = 1; k <= n - j; k++ ) { d[n-k-1] = d[n-k-1] - x[n-k-j] * d[n-k]; } } // // Evaluate the antiderivative of the polynomial at the left and // right endpoints. // yvala = d[n-1] / ( double ) ( n ); for ( j = n - 2; 0 <= j; j-- ) { yvala = yvala * x_min + d[j] / ( double ) ( j + 1 ); } yvala = yvala * x_min; yvalb = d[n-1] / ( double ) ( n ); for ( j = n - 2; 0 <= j; j-- ) { yvalb = yvalb * x_max + d[j] / ( double ) ( j + 1 ); } yvalb = yvalb * x_max; w[i] = yvalb - yvala; } delete [] d; return w; } //****************************************************************************80 void r8mat_write ( string output_filename, int m, int n, double table[] ) //****************************************************************************80 // // Purpose: // // R8MAT_WRITE writes an R8MAT file with no header. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 29 June 2009 // // Author: // // John Burkardt // // Parameters: // // Input, string OUTPUT_FILENAME, the output filename. // // Input, int M, the spatial dimension. // // Input, int N, the number of points. // // Input, double TABLE[M*N], the table data. // { int i; int j; ofstream output; // // Open the file. // output.open ( output_filename.c_str ( ) ); if ( !output ) { cerr << "\n"; cerr << "R8MAT_WRITE - Fatal error!\n"; cerr << " Could not open the output file.\n"; return; } // // Write the data. // for ( j = 0; j < n; j++ ) { for ( i = 0; i < m; i++ ) { output << " " << setw(24) << setprecision(16) << table[i+j*m]; } output << "\n"; } // // Close the file. // output.close ( ); return; } //****************************************************************************80 void rescale ( double a, double b, int n, double x[], double w[] ) //****************************************************************************80 // // Purpose: // // RESCALE rescales a Legendre quadrature rule from [-1,+1] to [A,B]. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 18 October 2009 // // Author: // // John Burkardt. // // Reference: // // Andreas Glaser, Xiangtao Liu, Vladimir Rokhlin, // A fast algorithm for the calculation of the roots of special functions, // SIAM Journal on Scientific Computing, // Volume 29, Number 4, pages 1420-1438, 2007. // // Parameters: // // Input, double A, B, the endpoints of the new interval. // // Input, int N, the order. // // Input/output, double X[N], on input, the abscissas for [-1,+1]. // On output, the abscissas for [A,B]. // // Input/output, double W[N], on input, the weights for [-1,+1]. // On output, the weights for [A,B]. // { int i; for ( i = 0; i < n; i++ ) { x[i] = ( ( a + b ) + ( b - a ) * x[i] ) / 2.0; } for ( i = 0; i < n; i++ ) { w[i] = ( b - a ) * w[i] / 2.0; } return; } //****************************************************************************80 void rule_write ( int order, string filename, double x[], double w[], double r[] ) //****************************************************************************80 // // Purpose: // // RULE_WRITE writes a quadrature rule to three files. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 18 February 2010 // // Author: // // John Burkardt // // Parameters: // // Input, int ORDER, the order of the rule. // // Input, double A, the left endpoint. // // Input, double B, the right endpoint. // // Input, string FILENAME, specifies the output filenames. // "filename_w.txt", "filename_x.txt", "filename_r.txt" // defining weights, abscissas, and region. // { string filename_r; string filename_w; string filename_x; filename_w = filename + "_w.txt"; filename_x = filename + "_x.txt"; filename_r = filename + "_r.txt"; cout << "\n"; cout << " Creating quadrature files.\n"; cout << "\n"; cout << " Root file name is \"" << filename << "\".\n"; cout << "\n"; cout << " Weight file will be \"" << filename_w << "\".\n"; cout << " Abscissa file will be \"" << filename_x << "\".\n"; cout << " Region file will be \"" << filename_r << "\".\n"; r8mat_write ( filename_w, 1, order, w ); r8mat_write ( filename_x, 1, order, x ); r8mat_write ( filename_r, 1, 2, r ); return; } //****************************************************************************80 void timestamp ( ) //****************************************************************************80 // // Purpose: // // TIMESTAMP prints the current YMDHMS date as a time stamp. // // Example: // // 31 May 2001 09:45:54 AM // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 08 July 2009 // // Author: // // John Burkardt // // Parameters: // // None // { # define TIME_SIZE 40 static char time_buffer[TIME_SIZE]; const struct std::tm *tm_ptr; std::time_t now; now = std::time ( NULL ); tm_ptr = std::localtime ( &now ); std::strftime ( time_buffer, TIME_SIZE, "%d %B %Y %I:%M:%S %p", tm_ptr ); std::cout << time_buffer << "\n"; return; # undef TIME_SIZE }