view doc/interpreter/splineimages.m @ 20651:e54ecb33727e

lo-array-gripes.cc: Remove FIXME's related to buffer size. * lo-array-gripes.cc: Remove FIXME's related to buffer size. Shorten sprintf buffers from 100 to 64 characters (still well more than 19 required). Use 'const' decorator on constant value for clarity. Remove extra space between variable and array bracket.
author Rik <rik@octave.org>
date Mon, 12 Oct 2015 21:13:47 -0700
parents b439ccc9a162
children
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## Copyright (C) 2012-2015 Ben Abbott, Jonas Lundgren
##
## This file is part of Octave.
##
## Octave 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.
##
## Octave 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 Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

function splineimages (d, nm, typ)
  set_graphics_toolkit ();
  set_print_size ();
  hide_output ();
  outfile = fullfile (d, [nm "." typ]);
  if (strcmp (typ, "png"))
    set (0, "defaulttextfontname", "*");
  endif
  if (strcmp (typ, "eps"))
    d_typ = "-depsc2";
  else
    d_typ = ["-d" typ];
  endif

  if (strcmp (typ, "txt"))
    image_as_txt (d, nm);
  elseif (strcmp (nm, "splinefit1")) ## Breaks and Pieces
    x = 2 * pi * rand (1, 200);
    y = sin (x) + sin (2 * x) + 0.2 * randn (size (x));
    ## Uniform breaks
    breaks = linspace (0, 2 * pi, 41); ## 41 breaks, 40 pieces
    pp1 = splinefit (x, y, breaks);
    ## Breaks interpolated from data
    pp2 = splinefit (x, y, 10);  ## 11 breaks, 10 pieces
    ## Plot
    xx = linspace (0, 2 * pi, 400);
    y1 = ppval (pp1, xx);
    y2 = ppval (pp2, xx);
    plot (x, y, ".", xx, [y1; y2]);
    axis tight;
    ylim ([-2.5 2.5]);
    legend ("data", "41 breaks, 40 pieces", "11 breaks, 10 pieces");
    print (outfile, d_typ);
  elseif (strcmp (nm, "splinefit2")) ## Spline orders
    ## Data (200 points)
    x = 2 * pi * rand (1, 200);
    y = sin (x) + sin (2 * x) + 0.1 * randn (size (x));
    ## Splines
    pp1 = splinefit (x, y, 8, "order", 0);  ## Piecewise constant
    pp2 = splinefit (x, y, 8, "order", 1);  ## Piecewise linear
    pp3 = splinefit (x, y, 8, "order", 2);  ## Piecewise quadratic
    pp4 = splinefit (x, y, 8, "order", 3);  ## Piecewise cubic
    pp5 = splinefit (x, y, 8, "order", 4);  ## Etc.
    ## Plot
    xx = linspace (0, 2 * pi, 400);
    y1 = ppval (pp1, xx);
    y2 = ppval (pp2, xx);
    y3 = ppval (pp3, xx);
    y4 = ppval (pp4, xx);
    y5 = ppval (pp5, xx);
    plot (x, y, ".", xx, [y1; y2; y3; y4; y5]);
    axis tight;
    ylim ([-2.5 2.5]);
    legend ({"data", "order 0", "order 1", "order 2", "order 3", "order 4"});
    print (outfile, d_typ);
  elseif (strcmp (nm, "splinefit3"))
    ## Data (100 points)
    x = 2 * pi * [0, (rand (1, 98)), 1];
    y = sin (x) - cos (2 * x) + 0.2 * randn (size (x));
    ## No constraints
    pp1 = splinefit (x, y, 10, "order", 5);
    ## Periodic boundaries
    pp2 = splinefit (x, y, 10, "order", 5, "periodic", true);
    ## Plot
    xx = linspace (0, 2 * pi, 400);
    y1 = ppval (pp1, xx);
    y2 = ppval (pp2, xx);
    plot (x, y, ".", xx, [y1; y2]);
    axis tight;
    ylim ([-2 3]);
    legend ({"data", "no constraints", "periodic"});
    print (outfile, d_typ);
  elseif (strcmp (nm, "splinefit4"))
    ## Data (200 points)
    x = 2 * pi * rand (1, 200);
    y = sin (2 * x) + 0.1 * randn (size (x));
    ## Breaks
    breaks = linspace (0, 2 * pi, 10);
    ## Clamped endpoints, y = y" = 0
    xc = [0, 0, 2*pi, 2*pi];
    cc = [(eye (2)), (eye (2))];
    con = struct ("xc", xc, "cc", cc);
    pp1 = splinefit (x, y, breaks, "constraints", con);
    ## Hinged periodic endpoints, y = 0
    con = struct ("xc", 0);
    pp2 = splinefit (x, y, breaks, "constraints", con, "periodic", true);
    ## Plot
    xx = linspace (0, 2 * pi, 400);
    y1 = ppval (pp1, xx);
    y2 = ppval (pp2, xx);
    plot (x, y, ".", xx, [y1; y2]);
    axis tight;
    ylim ([-1.5 1.5]);
    legend ({"data", "clamped", "hinged periodic"});
    print (outfile, d_typ);
  elseif (strcmp (nm, "splinefit5"))
    ## Truncated data
    x = [0,  1,  2,  4,  8, 16, 24, 40, 56, 72, 80] / 80;
    y = [0, 28, 39, 53, 70, 86, 90, 79, 55, 22,  2] / 1000;
    xy = [x; y];
    ## Curve length parameter
    ds = sqrt (diff (x).^2 + diff (y).^2);
    s = [0, cumsum(ds)];
    ## Constraints at s = 0: (x,y) = (0,0), (dx/ds,dy/ds) = (0,1)
    con = struct ("xc", [0 0], "yc", [0 0; 0 1], "cc", eye (2));
    ## Fit a spline with 4 pieces
    pp = splinefit (s, xy, 4, "constraints", con);
    ## Plot
    ss = linspace (0, s(end), 400);
    xyfit = ppval (pp, ss);
    xyb = ppval (pp, pp.breaks);
    plot (x, y, ".", xyfit(1,:), xyfit(2,:), "r", xyb(1,:), xyb(2,:), "ro");
    legend ({"data", "spline", "breaks"});
    axis tight;
    ylim ([0 0.1]);
    print (outfile, d_typ);
  elseif (strcmp (nm, "splinefit6"))
    ## Data
    x = linspace (0, 2*pi, 200);
    y = sin (x) + sin (2 * x) + 0.05 * randn (size (x));
    ## Add outliers
    x = [x, linspace(0,2*pi,60)];
    y = [y, -ones(1,60)];
    ## Fit splines with hinged conditions
    con = struct ("xc", [0, 2*pi]);
    pp1 = splinefit (x, y, 8, "constraints", con, "beta", 0.25); ## Robust fitting
    pp2 = splinefit (x, y, 8, "constraints", con, "beta", 0.75); ## Robust fitting
    pp3 = splinefit (x, y, 8, "constraints", con); ## No robust fitting
    ## Plot
    xx = linspace (0, 2*pi, 400);
    y1 = ppval (pp1, xx);
    y2 = ppval (pp2, xx);
    y3 = ppval (pp3, xx);
    plot (x, y, ".", xx, [y1; y2; y3]);
    legend ({"data with outliers","robust, beta = 0.25", ...
             "robust, beta = 0.75", "no robust fitting"});
    axis tight;
    ylim ([-2 2]);
    print (outfile, d_typ);
  endif
  hide_output ();
endfunction

## This function no longer sets the graphics toolkit; That is now done
## automatically by C++ code which will ordinarily choose 'qt', but might
## choose gnuplot on older systems.  Only a complete lack of plotting is a
## problem.
function set_graphics_toolkit ()
  if (isempty (available_graphics_toolkits ()))
    error ("no graphics toolkit available for plotting");
  endif
endfunction

function set_print_size ()
  image_size = [5.0, 3.5]; # in inches, 16:9 format
  border = 0;              # For postscript use 50/72
  set (0, "defaultfigurepapertype", "<custom>");
  set (0, "defaultfigurepaperorientation", "landscape");
  set (0, "defaultfigurepapersize", image_size + 2*border);
  set (0, "defaultfigurepaperposition", [border, border, image_size]);
endfunction

## Use this function before plotting commands and after every call to print
## since print() resets output to stdout (unfortunately, gnuplot can't pop
## output as it can the terminal type).
function hide_output ()
  hf = figure (1, "visible", "off");
endfunction

## generate something for the texinfo @image command to process
function image_as_txt (d, nm)
  fid = fopen (fullfile (d, [nm ".txt"]), "wt");
  fputs (fid, "\n");
  fputs (fid, "+---------------------------------+\n");
  fputs (fid, "| Image unavailable in text mode. |\n");
  fputs (fid, "+---------------------------------+\n");
  fclose (fid);
endfunction


%!demo
%! for s = 1:6
%!   splineimages (sprintf ("splinefit##d", s), "pdf")
%! endfor