# include # include # include # include # include # include using namespace std; # include "shepard_interp_nd.hpp" # include "r8lib.hpp" //****************************************************************************80 double *shepard_interp_nd ( int m, int nd, double xd[], double zd[], double p, int ni, double xi[] ) //****************************************************************************80 // // Purpose: // // SHEPARD_INTERP_ND evaluates a multidimensional Shepard interpolant. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 02 October 2012 // // Author: // // John Burkardt // // Reference: // // Donald Shepard, // A two-dimensional interpolation function for irregularly spaced data, // ACM '68: Proceedings of the 1968 23rd ACM National Conference, // ACM, pages 517-524, 1969. // // Parameters: // // Input, int M, the spatial dimension. // // Input, int ND, the number of data points. // // Input, double XD[M*ND], the data points. // // Input, double ZD[ND], the data values. // // Input, double P, the power. // // Input, int NI, the number of interpolation points. // // Input, double XI[M*NI], the interpolation points. // // Output, double SHEPARD_INTERP_ND[NI], the interpolated values. // { int i; int i2; int j; double s; double t; double *w; int z; double *zi; w = new double[nd]; zi = new double[ni]; for ( i = 0; i < ni; i++ ) { if ( p == 0.0 ) { for ( j = 0; j < nd; j++ ) { w[j] = 1.0 / ( double ) ( nd ); } } else { z = -1; for ( j = 0; j < nd; j++ ) { t = 0.0; for ( i2 = 0; i2 < m; i2++ ) { t = t + pow ( xi[i2+i*m] - xd[i2+j*m], 2 ); } w[j] = sqrt ( t ); if ( w[j] == 0.0 ) { z = j; break; } } if ( z != -1 ) { for ( j = 0; j < nd; j++ ) { w[j] = 0.0; } w[z] = 1.0; } else { for ( j = 0; j < nd; j++ ) { w[j] = 1.0 / pow ( w[j], p ); } s = 0.0; for ( j = 0; j < nd; j++ ) { s = s + w[j]; } for ( j = 0; j < nd; j++ ) { w[j] = w[j] / s; } } } zi[i] = r8vec_dot_product ( nd, w, zd ); } delete [] w; return zi; }