/* interpolation/steffen.c * * Copyright (C) 2014 Jean-François Caron * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 3 of the License, or (at * your option) any later version. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ /* Author: J.-F. Caron * * This interpolation method is taken from * M.Steffen, "A simple method for monotonic interpolation in one dimension", * Astron. Astrophys. 239, 443-450 (1990). * * This interpolation method guarantees monotonic interpolation functions between * the given data points. A consequence of this is that extremal values can only * occur at the data points. The interpolating function and its first derivative * are guaranteed to be continuous, but the second derivative is not. * * The implementation is modelled on the existing Akima interpolation method * previously included in GSL by Gerard Jungman. */ #include #include #include #include #include #include "integ_eval.h" #include typedef struct { double * a; /* eqs 2-5 of paper */ double * b; double * c; double * d; double * y_prime; /* eq 11 of paper */ } steffen_state_t; static void steffen_free (void * vstate); static double steffen_copysign(const double x, const double y); static void * steffen_alloc (size_t size) { steffen_state_t *state; state = (steffen_state_t *) calloc (1, sizeof (steffen_state_t)); if (state == NULL) { GSL_ERROR_NULL("failed to allocate space for state", GSL_ENOMEM); } state->a = (double *) malloc (size * sizeof (double)); if (state->a == NULL) { steffen_free(state); GSL_ERROR_NULL("failed to allocate space for a", GSL_ENOMEM); } state->b = (double *) malloc (size * sizeof (double)); if (state->b == NULL) { steffen_free(state); GSL_ERROR_NULL("failed to allocate space for b", GSL_ENOMEM); } state->c = (double *) malloc (size * sizeof (double)); if (state->c == NULL) { steffen_free(state); GSL_ERROR_NULL("failed to allocate space for c", GSL_ENOMEM); } state->d = (double *) malloc (size * sizeof (double)); if (state->d == NULL) { steffen_free(state); GSL_ERROR_NULL("failed to allocate space for d", GSL_ENOMEM); } state->y_prime = (double *) malloc (size * sizeof (double)); if (state->y_prime == NULL) { steffen_free(state); GSL_ERROR_NULL("failed to allocate space for y_prime", GSL_ENOMEM); } return state; } static int steffen_init (void * vstate, const double x_array[], const double y_array[], size_t size) { steffen_state_t *state = (steffen_state_t *) vstate; size_t i; double *a = state->a; double *b = state->b; double *c = state->c; double *d = state->d; double *y_prime = state->y_prime; /* * first assign the interval and slopes for the left boundary. * We use the "simplest possibility" method described in the paper * in section 2.2 */ double h0 = (x_array[1] - x_array[0]); double s0 = (y_array[1] - y_array[0]) / h0; y_prime[0] = s0; /* Now we calculate all the necessary s, h, p, and y' variables from 1 to N-2 (0 to size - 2 inclusive) */ for (i = 1; i < (size - 1); i++) { double pi; /* equation 6 in the paper */ double hi = (x_array[i+1] - x_array[i]); double him1 = (x_array[i] - x_array[i - 1]); /* equation 7 in the paper */ double si = (y_array[i+1] - y_array[i]) / hi; double sim1 = (y_array[i] - y_array[i - 1]) / him1; /* equation 8 in the paper */ pi = (sim1*hi + si*him1) / (him1 + hi); /* This is a C equivalent of the FORTRAN statement below eqn 11 */ y_prime[i] = (steffen_copysign(1.0,sim1) + steffen_copysign(1.0,si)) * GSL_MIN(fabs(sim1), GSL_MIN(fabs(si), 0.5*fabs(pi))); } /* * we also need y' for the rightmost boundary; we use the * "simplest possibility" method described in the paper in * section 2.2 * * y' = s_{n-1} */ y_prime[size-1] = (y_array[size - 1] - y_array[size - 2]) / (x_array[size - 1] - x_array[size - 2]); /* Now we can calculate all the coefficients for the whole range. */ for (i = 0; i < (size - 1); i++) { double hi = (x_array[i+1] - x_array[i]); double si = (y_array[i+1] - y_array[i]) / hi; /* These are from equations 2-5 in the paper. */ a[i] = (y_prime[i] + y_prime[i+1] - 2*si) / hi / hi; b[i] = (3*si - 2*y_prime[i] - y_prime[i+1]) / hi; c[i] = y_prime[i]; d[i] = y_array[i]; } return GSL_SUCCESS; } static void steffen_free (void * vstate) { steffen_state_t *state = (steffen_state_t *) vstate; RETURN_IF_NULL(state); if (state->a) free (state->a); if (state->b) free (state->b); if (state->c) free (state->c); if (state->d) free (state->d); if (state->y_prime) free (state->y_prime); free (state); } static int steffen_eval (const void * vstate, const double x_array[], const double y_array[], size_t size, double x, gsl_interp_accel * a, double *y) { const steffen_state_t *state = (const steffen_state_t *) vstate; size_t index; if (a != 0) { index = gsl_interp_accel_find (a, x_array, size, x); } else { index = gsl_interp_bsearch (x_array, x, 0, size - 1); } /* evaluate */ { const double x_lo = x_array[index]; const double delx = x - x_lo; const double a = state->a[index]; const double b = state->b[index]; const double c = state->c[index]; const double d = state->d[index]; /* Use Horner's scheme for efficient evaluation of polynomials. */ /* *y = a*delx*delx*delx + b*delx*delx + c*delx + d; */ *y = d + delx*(c + delx*(b + delx*a)); return GSL_SUCCESS; } } static int steffen_eval_deriv (const void * vstate, const double x_array[], const double y_array[], size_t size, double x, gsl_interp_accel * a, double *dydx) { const steffen_state_t *state = (const steffen_state_t *) vstate; size_t index; /* DISCARD_POINTER(y_array); /\* prevent warning about unused parameter *\/ */ if (a != 0) { index = gsl_interp_accel_find (a, x_array, size, x); } else { index = gsl_interp_bsearch (x_array, x, 0, size - 1); } /* evaluate */ { double x_lo = x_array[index]; double delx = x - x_lo; double a = state->a[index]; double b = state->b[index]; double c = state->c[index]; /*double d = state->d[index];*/ /* *dydx = 3*a*delx*delx*delx + 2*b*delx + c; */ *dydx = c + delx*(2*b + delx*3*a); return GSL_SUCCESS; } } static int steffen_eval_deriv2 (const void * vstate, const double x_array[], const double y_array[], size_t size, double x, gsl_interp_accel * a, double *y_pp) { const steffen_state_t *state = (const steffen_state_t *) vstate; size_t index; /* DISCARD_POINTER(y_array); /\* prevent warning about unused parameter *\/ */ if (a != 0) { index = gsl_interp_accel_find (a, x_array, size, x); } else { index = gsl_interp_bsearch (x_array, x, 0, size - 1); } /* evaluate */ { const double x_lo = x_array[index]; const double delx = x - x_lo; const double a = state->a[index]; const double b = state->b[index]; *y_pp = 6*a*delx + 2*b; return GSL_SUCCESS; } } static int steffen_eval_integ (const void * vstate, const double x_array[], const double y_array[], size_t size, gsl_interp_accel * acc, double a, double b, double * result) { /* a and b are the boundaries of the integration. */ const steffen_state_t *state = (const steffen_state_t *) vstate; size_t i, index_a, index_b; /* Find the data points in the x_array that are nearest to the desired */ /* a and b integration boundaries. */ if (acc != 0) { index_a = gsl_interp_accel_find (acc, x_array, size, a); index_b = gsl_interp_accel_find (acc, x_array, size, b); } else { index_a = gsl_interp_bsearch (x_array, a, 0, size - 1); index_b = gsl_interp_bsearch (x_array, b, 0, size - 1); } *result = 0.0; /* Iterate over all the segments between data points and sum the */ /* contributions into result. */ for(i=index_a; i<=index_b; i++) { const double x_hi = x_array[i + 1]; const double x_lo = x_array[i]; const double dx = x_hi - x_lo; if(dx != 0.0) { /* * check if we are at a boundary point, so take the * a and b parameters instead of the data points. */ double x1 = (i == index_a) ? a-x_lo : 0.0; double x2 = (i == index_b) ? b-x_lo : x_hi-x_lo; *result += (1.0/4.0)*state->a[i]*(x2*x2*x2*x2 - x1*x1*x1*x1) +(1.0/3.0)*state->b[i]*(x2*x2*x2 - x1*x1*x1) +(1.0/2.0)*state->c[i]*(x2*x2 - x1*x1) +state->d[i]*(x2-x1); } else /* if the interval was zero, i.e. consecutive x values in data. */ { *result = 0.0; return GSL_EINVAL; } } return GSL_SUCCESS; } static double steffen_copysign(const double x, const double y) { if ((x < 0 && y > 0) || (x > 0 && y < 0)) return -x; return x; } static const gsl_interp_type steffen_type = { "steffen", 3, &steffen_alloc, &steffen_init, &steffen_eval, &steffen_eval_deriv, &steffen_eval_deriv2, &steffen_eval_integ, &steffen_free }; const gsl_interp_type * gsl_interp_steffen = &steffen_type;