what data structure for polinomial


 
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Old 10-07-2002
Question what data structure for polynomial

Hello, guys

Anyone had experiences to express polynomial using c language. I want to output the polynomial formula after I solve the question. Not to count the value of a polynomial.

That means I have to output the polynomial formula to screen.

such as:
f := p^100-4275+56*p^57+123*(1-p)^34 ;

362880*p^45-14515200*p^44+282592800*p^43-3567715200*p^42+32833495800*p^41-234748765440*p^40+1357020856800*p^39-6517548349200*p^38+26521978127400*p^37-92792729053500*p^36+282287441908080*p^35-753273866698920*p^34+1775448575926410*p^33-3716558335019880*p^32+6939551178972720*p^31-11596879696617600*p^30+17388982649046960*p^29-23437879996999860*p^28+28429756177413360*p^27-31050312703343640*p^26+30532209914200806*p^25-27011077082801580*p^24+21469710851551800*p^23-15300758477189520*p^22+9748958193896580*p^21-5532426738592740*p^20+2782630494934920*p^19-1232671556293800*p^18+477077447178540*p^17-159642667620135*p^16+45558310696800*p^15-10884316965480*p^14+2121183237600*p^13-324496267200*p^12+36628300800*p^11-2719892160*p^10+100000000*p^9;

This can be done beatifully by Maple.But I do not know how they do this.


Last edited by xli3; 11-01-2002 at 09:48 PM..
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Polynomial(3)						User Contributed Perl Documentation					     Polynomial(3)

NAME
PDL::Fit::Polynomial - routines for fitting with polynomials DESCRIPTION
This module contains routines for doing simple polynomial fits to data SYNOPSIS
$yfit = fitpoly1d $data; FUNCTIONS
fitpoly1d Fit 1D polynomials to data using min chi^2 (least squares) Usage: ($yfit, [$coeffs]) = fitpoly1d [$xdata], $data, $order, [Options...] Signature: (x(n); y(n); [o]yfit(n); [o]coeffs(order)) Uses a standard matrix inversion method to do a least squares/min chi^2 polynomial fit to data. Order=2 is a linear fit (two parameters). Returns the fitted data and optionally the coefficients. One can thread over extra dimensions to do multiple fits (except the order can not be threaded over - i.e. it must be one fixed scalar num- ber like "4"). The data is normalised internally to avoid overflows (using the mean of the abs value) which are common in large polynomial series but the returned fit, coeffs are in unnormalised units. $yfit = fitpoly1d $data,2; # Least-squares line fit ($yfit, $coeffs) = fitpoly1d $x, $y, 4; # Fit a cubic $fitimage = fitpoly1d $image,2 # Fit a quadratic to each row of an image $myfit = fitpoly1d $line, 2, {Weights => $w}; # Weighted fit Options: Weights Weights to use in fit, e.g. 1/$sigma**2 (default=1) BUGS
May not work too well for data with large dynamic range. SEE ALSO
"polyfit" in PDL::Slatec AUTHOR
This file copyright (C) 1999, Karl Glazebrook (kgb@aaoepp.aao.gov.au). All rights reserved. There is no warranty. You are allowed to redistribute this software documentation under certain conditions. For details, see the file COPYING in the PDL distribution. If this file is separated from the PDL distribution, the copyright notice should be included in the file. perl v5.8.0 2001-07-13 Polynomial(3)