# include # include # include # include # include # include using namespace std; # include "fd2d_heat_steady.hpp" int main ( ); void test01 ( ); double d ( double x, double y ); double f ( double x, double y ); void boundary ( int nx, int ny, double x[], double y[], int n, double a[], double rhs[] ); //****************************************************************************80 int main ( ) //****************************************************************************80 // // Purpose: // // fd2d_heat_steady_test() tests fd2d_heat_steady(). // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 29 August 2013 // // Author: // // John Burkardt // { timestamp ( ); cout << "\n"; cout << "FD2D_HEAT_STEADY_TEST:\n"; cout << " C++ version\n"; cout << " Test the FD2D_HEAT_STEADY library.\n"; test01 ( ); // // Terminate. // cout << "\n"; cout << "FD2D_HEAT_STEADY_TEST:\n"; cout << " Normal end of execution.\n"; cout << "\n"; timestamp ( ); return 0; } //****************************************************************************80 void test01 ( ) //****************************************************************************80 // // Purpose: // // TEST01 computes the solution for a steady state heat equation problem. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 29 August 2013 // // Author: // // John Burkardt // { string command_filename = "test01_commands.txt"; ofstream command_unit; string data_filename = "test01_data.txt"; ofstream data_unit; int i; int j; int nx; int ny; double *umat; double u_mean; double *xmat; double *xvec; double *ymat; double *yvec; // // Specify the spatial grid. // nx = 41; xvec = r8vec_linspace_new ( nx, 0.0, 2.0 ); ny = 21; yvec = r8vec_linspace_new ( ny, 0.0, 1.0 ); xmat = new double[nx*ny]; ymat = new double[nx*ny]; r8vec_mesh_2d ( nx, ny, xvec, yvec, xmat, ymat ); // // Solve the finite difference approximation to the steady 2D heat equation. // umat = fd2d_heat_steady ( nx, ny, xvec, yvec, d, f ); // // Create a data file. // data_unit.open ( data_filename.c_str ( ) ); for ( j = 0; j < ny; j++ ) { for ( i = 0; i < nx; i++ ) { data_unit << " " << setw(14) << xmat[i+j*nx] << " " << setw(14) << ymat[i+j*nx] << " " << setw(14) << umat[i+j*nx] << "\n"; } data_unit << "\n"; } data_unit.close ( ); cout << "\n"; cout << " Created graphics data file '" << data_filename << "'\n"; // // Create the command file. // command_unit.open ( command_filename.c_str ( ) ); command_unit << "# " << command_filename << "\n"; command_unit << "#\n"; command_unit << "# Usage:\n"; command_unit << "# gnuplot < " << command_filename << "\n"; command_unit << "#\n"; command_unit << "set term png\n"; command_unit << "set output 'test01.png'\n"; command_unit << "set xlabel '<---X--->'\n"; command_unit << "set ylabel '<---Y--->'\n"; command_unit << "set zlabel '<---U(X,Y)--->'\n"; command_unit << "set title 'Sample Solution'\n"; command_unit << "set contour\n"; command_unit << "set timestamp\n"; command_unit << "set cntrparam levels 10\n"; command_unit << "set view 75, 75\n"; command_unit << "unset key\n"; command_unit << "splot '" << data_filename << "'\n"; command_unit.close ( ); cout << " Created graphics command file '" << command_filename << "'\n"; // // Report the average value of U. // u_mean = 0.0; for ( j = 0; j < ny; j++ ) { for ( i = 0; i < nx; i++ ) { u_mean = u_mean + umat[i+j*nx]; } } u_mean = u_mean / ( double ) ( nx * ny ); cout << "\n"; cout << " Mean value of U is " << u_mean << "\n"; // // Free memory. // delete [] umat; delete [] xmat; delete [] xvec; delete [] ymat; delete [] yvec; return; } //****************************************************************************80 double d ( double x, double y ) //****************************************************************************80 // // Purpose: // // D evaluates the heat conductivity coefficient. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 29 August 2013 // // Author: // // John Burkardt // // Parameters: // // Input, double X, Y, the evaluation point. // // Output, double D, the value of the heat conductivity at (X,Y). // { double value; value = 1.0; return value; } //****************************************************************************80 double f ( double x, double y ) //****************************************************************************80 // // Purpose: // // F evaluates the heat source term. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 29 August 2013 // // Author: // // John Burkardt // // Parameters: // // Input, double X, Y, the evaluation point. // // Output, double F, the value of the heat source term at (X,Y). // { double value; value = 0.0; return value; } //****************************************************************************80 void boundary ( int nx, int ny, double x[], double y[], int n, double a[], double rhs[] ) //****************************************************************************80 // // Purpose: // // BOUNDARY sets up the matrix and right hand side at boundary nodes. // // Discussion: // // For this simple problem, the boundary conditions specify that the solution // is 100 on the left side, and insulated on the right, top and bottom. // // Nodes are assigned a single index K, which increases as: // // (NY-1)*NX+1 (NY-1)*NX+2 ... NY * NX // .... .... ... ..... // NX+1 NX+2 ... 2 * NX // 1 2 ... NX // // The index K of a node on the lower boundary satisfies: // 1 <= K <= NX // The index K of a node on the upper boundary satisfies: // (NY-1)*NX+1 <= K <= NY * NX // The index K of a node on the left boundary satisfies: // mod ( K, NX ) = 1 // The index K of a node on the right boundary satisfies: // mod ( K, NX ) = 0 // // If we number rows from bottom I = 1 to top I = NY // and columns from left J = 1 to right J = NX, then the relationship // between the single index K and the row and column indices I and J is: // K = ( I - 1 ) * NX + J // and // J = 1 + mod ( K - 1, NX ) // I = 1 + ( K - J ) / NX // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 29 August 2013 // // Author: // // John Burkardt // // Parameters: // // Input, int NX, NY, the number of grid points in X and Y. // // Input, double X[NX], Y[NY], the coordinates of grid lines. // // Input, int N, the number of nodes. // // Input/output, double A[N*N]. On input, the system matrix, with the // entries for the interior nodes filled in. On output, the entries for // the boundary nodes have been set as well. // // Input, double RHS[N], on input, the system right hand side, // with the entries for the interior nodes filled in. On output, the entries for // the boundary nodes have been set as well. // { int i; int j; int kc; // // Left boundary. // j = 0; for ( i = 1; i < ny - 1; i++ ) { kc = i * nx + j; a[kc+kc*n] = a[kc+kc*n] + 1.0; rhs[kc] = 10.0; } // // Right boundary. // j = nx - 1; for ( i = 1; i < ny - 1; i++ ) { kc = i * nx + j; a[kc+kc*n] = a[kc+kc*n] + 1.0; rhs[kc] = 100.0; } // // Lower boundary. // i = 0; for ( j = 0; j < nx; j++ ) { kc = i * nx + j; a[kc+kc*n] = a[kc+kc*n] + 1.0; rhs[kc] = 0.0; } // // Upper boundary. // i = ny - 1; for ( j = 0; j < nx; j++ ) { kc = i * nx + j; a[kc+kc*n] = a[kc+kc*n] + 1.0; rhs[kc] = 0.0; } return; }