/* * $Id: cheby.i,v 1.2 2007/01/28 23:47:31 dhmunro Exp $ * Chebyshev polynomial approximation routines * after Numerical Recipes (Press et. al.) section 5.6 */ /* Copyright (c) 2005, The Regents of the University of California. * All rights reserved. * This file is part of yorick (http://yorick.sourceforge.net). * Read the accompanying LICENSE file for details. */ func cheby_fit(f, x, n) /* DOCUMENT fit = cheby_fit(f, interval, n) * or fit = cheby_fit(f, x, n) * returns the Chebyshev fit (for use in cheby_eval) of degree N * to the function F on the INTERVAL (a 2 element array [a,b]). * In the second form, F and X are arrays; the function to be * fit is the piecewise linear function of xp interp(f,x,xp), and * the interval of the fit is [min(x),max(x)]. * * The return value is the array [a,b, c0,c1,c2,...cN] where [a,b] * is the interval over which the fit applies, and the ci are the * Chebyshev coefficients. It may be useful to use a relatively * large value of N in the call to cheby_fit, then to truncate the * resulting fit to fit(1:3+m) before calling cheby_eval. * * SEE ALSO: cheby_eval, cheby_integ, cheby_deriv, cheby_poly */ { a = double(min(x)); b = max(x); ++n; p = (pi/n) * span(0.5,n-0.5,n); c = cos(p*indgen(0:n-1)(-,)); p = a + 0.5*(b-a)*(c(,2)+1.); if (is_array(f)) p = interp(f,x, p); else for (i=1 ; i<=n ; ++i) p(i) = f(p(i)); return grow([a,b], (2./n) * (p(+)*c(+,))); } func cheby_eval(fit, x) /* DOCUMENT cheby_eval(fit, x) * evaluates the Chebyshev fit (from cheby_fit) at points X. * the return values have the same dimensions as X. * * SEE ALSO: cheby_fit */ { x = interp([-2.,2.],fit(1:2), x); a = b = 0.; for (i=numberof(fit) ; i>2 ; --i) { c = b; b = a; a = x*b - c + fit(i); } return 0.5*(a-c); } func cheby_integ(fit, x0) /* DOCUMENT cheby_integ(fit) * or cheby_integ(fit, x0) * returns Chebyshev fit to the integral of the function of the * input Chebyshev FIT. If X0 is given, the returned integral will * be zero at X0 (which should be inside the fit interval fit(1:2)), * otherwise the integral will be zero at x=fit(1). * * SEE ALSO: cheby_fit, cheby_deriv */ { fit = double(fit); if (is_void(x0)) x0 = fit(1); c = 0.25*(fit(2)-fit(1)); n = numberof(fit); f = grow(fit, [0.]); if (n>4) f(4:n-1) = c * (fit(3:n-2)-fit(5:n))/indgen(n-4); f(n:n+1) = c * fit(n-1:n)/indgen(n-3:n-2); f(3) = 0.; f(3) = -2.*cheby_eval(f, x0); return f; } func cheby_deriv(fit) /* DOCUMENT cheby_deriv(fit) * returns Chebyshev fit to the derivative of the function of the * input Chebyshev FIT. * * SEE ALSO: cheby_fit, cheby_integ */ { fit = double(fit); n = numberof(fit) - 2; if (n<2) return [fit(1),fit(2),0.]; f = fit(1:-1); f(0) = 2.*(n-1)*fit(0); if (n>2) f(-1) = 2.*(n-2)*fit(-1); for (i=-2 ; i>1-n ; --i) f(i) = f(i+2) + 2.*(i+n-1)*fit(i); f(3:0) *= (2./(fit(2)-fit(1))); return f; } func cheby_poly(fit) /* DOCUMENT cheby_poly(fit) * returns coefficients An of x^n as [A0, A1, A2, ..., An] for * the given FIT returned by cheby_fit. You should only consider * actually using these for very low degree polynomials; cheby_eval * is nearly always a superior way to evaluate the polynomial. * * SEE ALSO: cheby_fit */ { c = fit(3:0); n = numberof(c); /* first hunk finds coefficients of polynomial on [-1,1] */ d = dd = 0.*c; d(1) = c(0); for (j=n-1 ; j>=2 ; j--) { for (k=n-j+2 ; k>=2 ; k--) { t = d(k); d(k) = 2.*d(k-1) - dd(k); dd(k) = t; } t = d(1); d(1) = -dd(1) + c(j); dd(1) = t; } for (j=n ; j>=2 ; j--) d(j) = d(j-1) - dd(j); d(1) = -dd(1) + 0.5*c(1); /* second hunk rescales and shifts coefficients to [a,b] */ a = fit(1); b = fit(2); d *= (2./(b-a)) ^ indgen(0:n-1); c = 0.5*(a+b); for (j=1 ; j=j ; k--) d(k) -= c*d(k+1); return d; }