# include # include # include # include # include using namespace std; # include "multigrid_poisson_1d.hpp" //****************************************************************************80 void ctof ( int nc, double uc[], int nf, double uf[] ) //****************************************************************************80 // // Purpose: // // CTOF transfers data from a coarse to a finer grid. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 07 December 2011 // // Author: // // John Burkardt // // Reference: // // William Hager, // Applied Numerical Linear Algebra, // Prentice-Hall, 1988, // ISBN13: 978-0130412942, // LC: QA184.H33. // // Parameters: // // Input, int NC, the number of coarse nodes. // // Input, double UC[NC], the coarse correction data. // // Input, int NF, the number of fine nodes. // // Input/output, double UF[NF], on input, the fine grid data. // On output, the data has been updated with prolonged coarse // correction data. // { int ic; int iff; for ( ic = 0; ic < nc; ic++ ) { iff = 2 * ic; uf[iff] = uf[iff] + uc[ic]; } for ( ic = 0; ic < nc - 1; ic++ ) { iff = 2 * ic + 1; uf[iff] = uf[iff] + 0.5 * ( uc[ic] + uc[ic+1] ); } return; } //****************************************************************************80 void ftoc ( int nf, double uf[], double rf[], int nc, double uc[], double rc[] ) //****************************************************************************80 // // Purpose: // // FTOC transfers data from a fine grid to a coarser grid. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 07 December 2011 // // Author: // // John Burkardt // // Reference: // // William Hager, // Applied Numerical Linear Algebra, // Prentice-Hall, 1988, // ISBN13: 978-0130412942, // LC: QA184.H33. // // Parameters: // // Input, int NF, the number of fine nodes. // // Input, double UF[NF], the fine data. // // Input, double RF[NF], the right hand side for the fine grid. // // Input, int NC, the number of coarse nodes. // // Output, double UC[NC], the coarse grid data, set to zero. // // Output, double RC[NC], the right hand side for the coarse grid. // { int ic; int iff; for ( ic = 0; ic < nc; ic++ ) { uc[ic] = 0.0; } rc[0] = 0.0; for ( ic = 1; ic < nc - 1; ic++ ) { iff = 2 * ic; rc[ic] = 4.0 * ( rf[iff] + uf[iff-1] - 2.0 * uf[iff] + uf[iff+1] ); } rc[nc-1] = 0.0; return; } //****************************************************************************80 void gauss_seidel ( int n, double r[], double u[], double &dif_l1 ) //****************************************************************************80 // // Purpose: // // GAUSS_SEIDEL carries out one step of a Gauss-Seidel iteration. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 07 December 2011 // // Author: // // John Burkardt // // Reference: // // William Hager, // Applied Numerical Linear Algebra, // Prentice-Hall, 1988, // ISBN13: 978-0130412942, // LC: QA184.H33. // // Parameters: // // Input, int N, the number of unknowns. // // Input, double R[N], the right hand side. // // Input/output, double U[N], the estimated solution. // // Output, double &DIF_L1, the L1 norm of the difference between the // input and output solution estimates. // { int i; double u_old; dif_l1 = 0.0; for ( i = 1; i < n - 1; i++ ) { u_old = u[i]; u[i] = 0.5 * ( u[i-1] + u[i+1] + r[i] ); dif_l1 = dif_l1 + fabs ( u[i] - u_old ); } return; } //****************************************************************************80 int i4_log_2 ( int i ) //****************************************************************************80 // // Purpose: // // I4_LOG_2 returns the integer part of the logarithm base 2 of an I4. // // Example: // // I I4_LOG_10 // ----- -------- // 0 0 // 1 0 // 2 1 // 3 1 // 4 2 // 5 2 // 7 2 // 8 3 // 9 3 // 1000 9 // 1024 10 // // Discussion: // // I4_LOG_2 ( I ) + 1 is the number of binary digits in I. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 04 January 2004 // // Author: // // John Burkardt // // Parameters: // // Input, int I, the number whose logarithm base 2 is desired. // // Output, int I4_LOG_2, the integer part of the logarithm base 2 of // the absolute value of X. // { int i_abs; int two_pow; int value; if ( i == 0 ) { value = 0; } else { value = 0; two_pow = 2; i_abs = abs ( i ); while ( two_pow <= i_abs ) { value = value + 1; two_pow = two_pow * 2; } } return value; } //****************************************************************************80 int i4_power ( int i, int j ) //****************************************************************************80 // // Purpose: // // I4_POWER returns the value of I^J. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 01 April 2004 // // Author: // // John Burkardt // // Parameters: // // Input, int I, J, the base and the power. J should be nonnegative. // // Output, int I4_POWER, the value of I^J. // { int k; int value; if ( j < 0 ) { if ( i == 1 ) { value = 1; } else if ( i == 0 ) { cerr << "\n"; cerr << "I4_POWER - Fatal error!\n"; cerr << " I^J requested, with I = 0 and J negative.\n"; exit ( 1 ); } else { value = 0; } } else if ( j == 0 ) { if ( i == 0 ) { cerr << "\n"; cerr << "I4_POWER - Fatal error!\n"; cerr << " I^J requested, with I = 0 and J = 0.\n"; exit ( 1 ); } else { value = 1; } } else if ( j == 1 ) { value = i; } else { value = 1; for ( k = 1; k <= j; k++ ) { value = value * i; } } return value; } //****************************************************************************80 void monogrid_poisson_1d ( int n, double a, double b, double ua, double ub, double force ( double x ), double exact ( double x ), int &it_num, double u[] ) //****************************************************************************80 // // Purpose: // // MONOGRID_POISSON_1D solves a 1D PDE, using the Gauss-Seidel method. // // Discussion: // // This routine solves a 1D boundary value problem of the form // // - U''(X) = F(X) for A < X < B, // // with boundary conditions U(A) = UA, U(B) = UB. // // The Gauss-Seidel method is used. // // This routine is provided primarily for comparison with the // multigrid solver. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 26 July 2014 // // Author: // // John Burkardt // // Reference: // // William Hager, // Applied Numerical Linear Algebra, // Prentice-Hall, 1988, // ISBN13: 978-0130412942, // LC: QA184.H33. // // Parameters: // // Input, int N, the number of intervals. // // Input, double A, B, the endpoints. // // Input, double UA, UB, the boundary values at the endpoints. // // Input, double FORCE ( double x ), the name of the function // which evaluates the right hand side. // // Input, double EXACT ( double x ), the name of the function // which evaluates the exact solution. // // Output, int &IT_NUM, the number of iterations. // // Output, double U[N+1], the computed solution. // { double d1; double h; int i; double *r; double tol; double *x; // // Initialization. // tol = 0.0001; // // Set the nodes. // x = r8vec_linspace_new ( n + 1, a, b ); // // Set the right hand side. // r = new double[n+1]; r[0] = ua; h = ( b - a ) / ( double ) ( n ); for ( i = 1; i < n; i++ ) { r[i] = h * h * force ( x[i] ); } r[n] = ub; for ( i = 0; i <= n; i++ ) { u[i] = 0.0; } it_num = 0; // // Gauss-Seidel iteration. // for ( ; ; ) { it_num = it_num + 1; gauss_seidel ( n + 1, r, u, d1 ); if ( d1 <= tol ) { break; } } delete [] r; delete [] x; return; } //****************************************************************************80 void multigrid_poisson_1d ( int n, double a, double b, double ua, double ub, double force ( double x ), double exact ( double x ), int &it_num, double u[] ) //****************************************************************************80 // // Purpose: // // MULTIGRID_POISSON_1D solves a 1D PDE using the multigrid method. // // Discussion: // // This routine solves a 1D boundary value problem of the form // // - U''(X) = F(X) for A < X < B, // // with boundary conditions U(A) = UA, U(B) = UB. // // The multigrid method is used. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 26 July 2014 // // Author: // // Original FORTRAN77 version by William Hager. // C++ version by John Burkardt. // // Reference: // // William Hager, // Applied Numerical Linear Algebra, // Prentice-Hall, 1988, // ISBN13: 978-0130412942, // LC: QA184.H33. // // Parameters: // // Input, int N, the number of intervals. // N must be a power of 2. // // Input, double A, B, the endpoints. // // Input, double UA, UB, the boundary values at the endpoints. // // Input, double FORCE ( double x ), the name of the function // which evaluates the right hand side. // // Input, double EXACT ( double x ), the name of the function // which evaluates the exact solution. // // Output, int &IT_NUM, the number of iterations. // // Output, double U[N+1], the computed solution. // { double d0; double d1; double h; int i; int it; int j; int k; int l; int ll; int m; int nl; double *r; double s; double tol; double utol; double *uu; double *x; // // Determine if we have enough storage. // k = i4_log_2 ( n ); if ( n != i4_power ( 2, k ) ) { cout << "\n"; cout << "MULTIGRID_POISSON_1D - Fatal error!\n"; cout << " N is not a power of 2.\n"; exit ( 1 ); } nl = n + n + k - 2; // // Initialization. // it = 4; it_num = 0; tol = 0.0001; utol = 0.7; m = n; // // Set the nodes. // x = r8vec_linspace_new ( n + 1, a, b ); // // Set the right hand side. // r = new double[nl]; r[0] = ua; h = ( b - a ) / ( double ) ( n ); for ( i = 1; i < n; i++ ) { r[i] = h * h * force ( x[i] ); } r[n] = ub; uu = new double[nl]; for ( i = 0; i < nl; i++ ) { uu[i] = 0.0; } // // L points to first entry of solution // LL points to penultimate entry. // l = 0; ll = n - 1; // // Gauss-Seidel iteration // d1 = 0.0; j = 0; for ( ; ; ) { d0 = d1; j = j + 1; gauss_seidel ( n + 1, r + l, uu + l, d1 ); it_num = it_num + 1; // // Do at least 4 iterations at each level. // if ( j < it ) { continue; } // // Enough iterations, satisfactory decrease, on finest grid, exit. // else if ( d1 < tol && n == m ) { break; } // // Enough iterations, satisfactory convergence, go finer. // else if ( d1 < tol ) { ctof ( n + 1, uu + l, n + n + 1, uu + (l-1-n-n) ); n = n + n; ll = l - 2; l = l - 1 - n; j = 0; } // // Enough iterations, slow convergence, 2 < N, go coarser. // else if ( utol * d0 <= d1 && 2 < n ) { ftoc ( n + 1, uu + l, r + l, (n/2)+1, uu+(l+n+1), r+(l+n+1) ); n = n / 2; l = ll + 2; ll = ll + n + 1; j = 0; } } for ( i = 0; i < n + 1; i++ ) { u[i] = uu[i]; } delete [] r; delete [] uu; delete [] x; return; } //****************************************************************************80 double r8_max ( double x, double y ) //****************************************************************************80 // // Purpose: // // R8_MAX returns the maximum of two R8's. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 18 August 2004 // // Author: // // John Burkardt // // Parameters: // // Input, double X, Y, the quantities to compare. // // Output, double R8_MAX, the maximum of X and Y. // { double value; if ( y < x ) { value = x; } else { value = y; } return value; } //****************************************************************************80 double *r8vec_linspace_new ( int n, double a_first, double a_last ) //****************************************************************************80 // // Purpose: // // R8VEC_LINSPACE_NEW creates a vector of linearly spaced values. // // Discussion: // // An R8VEC is a vector of R8's. // // 4 points evenly spaced between 0 and 12 will yield 0, 4, 8, 12. // // In other words, the interval is divided into N-1 even subintervals, // and the endpoints of intervals are used as the points. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 29 March 2011 // // Author: // // John Burkardt // // Parameters: // // Input, int N, the number of entries in the vector. // // Input, double A_FIRST, A_LAST, the first and last entries. // // Output, double R8VEC_LINSPACE_NEW[N], a vector of linearly spaced data. // { double *a; int i; a = new double[n]; if ( n == 1 ) { a[0] = ( a_first + a_last ) / 2.0; } else { for ( i = 0; i < n; i++ ) { a[i] = ( ( double ) ( n - 1 - i ) * a_first + ( double ) ( i ) * a_last ) / ( double ) ( n - 1 ); } } return a; } //****************************************************************************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 GNU LGPL 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; size_t len; std::time_t now; now = std::time ( NULL ); tm_ptr = std::localtime ( &now ); len = std::strftime ( time_buffer, TIME_SIZE, "%d %B %Y %I:%M:%S %p", tm_ptr ); std::cout << time_buffer << "\n"; return; # undef TIME_SIZE }