# include # include # include # include using namespace std; # include "lagrange_approx_1d.hpp" # include "qr_solve.hpp" # include "r8lib.hpp" # include "test_interp_1d.hpp" int main ( ); void test02 ( int prob, int m, int nd ); void test03 ( int prob, int m, int nd ); //****************************************************************************80 int main ( ) //****************************************************************************80 // // Purpose: // // MAIN is the main program for LAGRANGE_APPROX_1D_TEST. // // Discussion: // // LAGRANGE_APPROX_1D_TEST tests the LAGRANGE_APPROX_1D library. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 09 October 2012 // // Author: // // John Burkardt // { int j; int k; int m; int m_test[7] = { 0, 1, 2, 3, 4, 8, 16 }; int m_test_num = 7; int nd; int nd_test[3] = { 16, 64, 1000 }; int nd_test_num = 3; int prob; int prob_num; timestamp ( ); cout << "\n"; cout << "LAGRANGE_APPROX_1D_TEST:\n"; cout << " C++ version\n"; cout << " Test the LAGRANGE_APPROX_1D library.\n"; cout << " The R8LIB library is needed.\n"; cout << " The QR_SOLVE library is needed.\n"; cout << " These tests need the TEST_INTERP_1D library.\n"; prob_num = p00_prob_num ( ); for ( prob = 1; prob <= prob_num; prob++ ) { for ( j = 0; j < m_test_num; j++ ) { m = m_test[j]; for ( k = 0; k < nd_test_num; k++ ) { nd = nd_test[k]; test02 ( prob, m, nd ); } } } for ( prob = 1; prob <= prob_num; prob++ ) { for ( j = 0; j < m_test_num; j++ ) { m = m_test[j]; for ( k = 0; k < nd_test_num; k++ ) { nd = nd_test[k]; test03 ( prob, m, nd ); } } } // // Terminate. // cout << "\n"; cout << "LAGRANGE_APPROX_1D_TEST:\n"; cout << " Normal end of execution.\n"; cout << "\n"; timestamp ( ); return 0; } //****************************************************************************80 void test02 ( int prob, int m, int nd ) //****************************************************************************80 // // Purpose: // // TEST02 tests LAGRANGE_APPROX_1D with evenly spaced data // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 09 October 2012 // // Author: // // John Burkardt // // Parameters: // // Input, int PROB, the problem index. // // Input, int M, the polynomial approximant degree. // // Input, int ND, the number of data points. // { double a; double b; double int_error; int ni; double *xd; double *xi; double *yd; double *yi; cout << "\n"; cout << "TEST02:\n"; cout << " Approximate evenly spaced data from TEST_INTERP_1D problem #" << prob << "\n"; cout << " Use polynomial approximant of degree " << m << "\n"; cout << " Number of data points = " << nd << "\n"; a = 0.0; b = 1.0; xd = r8vec_linspace_new ( nd, a, b ); yd = p00_f ( prob, nd, xd ); if ( nd < 10 ) { r8vec2_print ( nd, xd, yd, " Data array:" ); } // // #1: Does approximant come close to function at data points? // ni = nd; xi = r8vec_copy_new ( ni, xd ); yi = lagrange_approx_1d ( m, nd, xd, yd, ni, xi ); int_error = r8vec_norm_affine ( nd, yi, yd ) / ( double ) ( ni ); cout << "\n"; cout << " L2 approximation error averaged per data node = " << int_error << "\n"; delete [] xd; delete [] xi; delete [] yd; delete [] yi; return; } //****************************************************************************80 void test03 ( int prob, int m, int nd ) //****************************************************************************80 // // Purpose: // // TEST03 tests LAGRANGE_APPROX_1D with Chebyshev spaced data. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 09 October 2012 // // Author: // // John Burkardt // // Parameters: // // Input, int PROB, the problem index. // // Input, int M, the polynomial approximant degree. // // Input, int ND, the number of data points. // { double a; double b; double int_error; int ni; double *xd; double *xi; double *yd; double *yi; cout << "\n"; cout << "TEST03:\n"; cout << " Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #" << prob << "\n"; cout << " Use polynomial approximant of degree " << m << "\n"; cout << " Number of data points = " << nd << "\n"; a = 0.0; b = 1.0; xd = r8vec_cheby_extreme_new ( nd, a, b ); yd = p00_f ( prob, nd, xd ); if ( nd < 10 ) { r8vec2_print ( nd, xd, yd, " Data array:" ); } // // #1: Does interpolant match function at interpolation points? // ni = nd; xi = r8vec_copy_new ( ni, xd ); yi = lagrange_approx_1d ( m, nd, xd, yd, ni, xi ); int_error = r8vec_norm_affine ( nd, yi, yd ) / ( double ) ( ni ); cout << "\n"; cout << " L2 approximation error averaged per data node = " << int_error << "\n"; delete [] xd; delete [] xi; delete [] yd; delete [] yi; return; }