view scripts/general/quad2d.m @ 30564:796f54d4ddbf stable

update Octave Project Developers copyright for the new year In files that have the "Octave Project Developers" copyright notice, update for 2021. In all .txi and .texi files except gpl.txi and gpl.texi in the doc/liboctave and doc/interpreter directories, change the copyright to "Octave Project Developers", the same as used for other source files. Update copyright notices for 2022 (not done since 2019). For gpl.txi and gpl.texi, change the copyright notice to be "Free Software Foundation, Inc." and leave the date at 2007 only because this file only contains the text of the GPL, not anything created by the Octave Project Developers. Add Paul Thomas to contributors.in.
author John W. Eaton <jwe@octave.org>
date Tue, 28 Dec 2021 18:22:40 -0500
parents 363fb10055df
children b0e90ca8e679
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########################################################################
##
## Copyright (C) 2017-2022 The Octave Project Developers
##
## See the file COPYRIGHT.md in the top-level directory of this
## distribution or <https://octave.org/copyright/>.
##
## 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
## <https://www.gnu.org/licenses/>.
##
########################################################################

## -*- texinfo -*-
## @deftypefn  {} {@var{q} =} quad2d (@var{f}, @var{xa}, @var{xb}, @var{ya}, @var{yb})
## @deftypefnx {} {@var{q} =} quad2d (@var{f}, @var{xa}, @var{xb}, @var{ya}, @var{yb}, @var{prop}, @var{val}, @dots{})
## @deftypefnx {} {[@var{q}, @var{err}, @var{iter}] =} quad2d (@dots{})
##
## Numerically evaluate the two-dimensional integral of @var{f} using adaptive
## quadrature over the two-dimensional domain defined by @var{xa}, @var{xb},
## @var{ya}, @var{yb} using tiled integration.  Additionally, @var{ya} and
## @var{yb} may be scalar functions of @var{x}, allowing for the integration
## over non-rectangular domains.
##
## @var{f} is a function handle, inline function, or string containing the name
## of the function to evaluate.  The function @var{f} must be of the form
## @math{z = f(x,y)} where @var{x} is a vector and @var{y} is a scalar.  It
## should return a vector of the same length and orientation as @var{x}.
##
## Additional optional parameters can be specified using
## @qcode{"@var{property}", @var{value}} pairs.  Valid properties are:
##
## @table @code
## @item AbsTol
## Define the absolute error tolerance for the quadrature.  The default
## value is 1e-10 (1e-5 for single).
##
## @item RelTol
## Define the relative error tolerance for the quadrature.  The default
## value is 1e-6 (1e-4 for single).
##
## @item MaxFunEvals
## The maximum number of function calls to the vectorized function @var{f}.
## The default value is 5000.
##
## @item Singular
## Enable/disable transforms to weaken singularities on the edge of the
## integration domain.  The default value is @var{true}.
##
## @item Vectorized
## Option to disable vectorized integration, forcing Octave to use only scalar
## inputs when calling the integrand.  The default value is @var{false}.
##
## @item FailurePlot
## If @code{quad2d} fails to converge to the desired error tolerance before
## MaxFunEvals is reached, a plot of the areas that still need refinement
## is created.  The default value is @var{false}.
## @end table
##
## Adaptive quadrature is used to minimize the estimate of error until the
## following is satisfied:
## @tex
## $$error \leq \max \left( AbsTol, RelTol\cdot\vert q\vert \right)$$
## @end tex
## @ifnottex
##
## @example
## @group
##         @var{error} <= max (@var{AbsTol}, @var{RelTol}*|@var{q}|)
## @end group
## @end example
##
## @end ifnottex
##
## The optional output @var{err} is an approximate bound on the error in the
## integral @code{abs (@var{q} - @var{I})}, where @var{I} is the exact value
## of the integral.  The optional output @var{iter} is the number of vectorized
## function calls to the function @var{f} that were used.
##
## Example 1 : integrate a rectangular region in x-y plane
##
## @example
## @group
## @var{f} = @@(@var{x},@var{y}) 2*ones (size (@var{x}));
## @var{q} = quad2d (@var{f}, 0, 1, 0, 1)
##   @result{} @var{q} =  2
## @end group
## @end example
##
## The result is a volume, which for this constant-value integrand, is just
## @code{@var{Length} * @var{Width} * @var{Height}}.
##
## Example 2 : integrate a triangular region in x-y plane
##
## @example
## @group
## @var{f} = @@(@var{x},@var{y}) 2*ones (size (@var{x}));
## @var{ymax} = @@(@var{x}) 1 - @var{x};
## @var{q} = quad2d (@var{f}, 0, 1, 0, @var{ymax})
##   @result{} @var{q} =  1
## @end group
## @end example
##
## The result is a volume, which for this constant-value integrand, is the
## Triangle Area x Height or
## @code{1/2 * @var{Base} * @var{Width} * @var{Height}}.
##
## Programming Notes: If there are singularities within the integration region
## it is best to split the integral and place the singularities on the
## boundary.
##
## Known @sc{matlab} incompatibility: If tolerances are left unspecified, and
## any integration limits are of type @code{single}, then Octave's integral
## functions automatically reduce the default absolute and relative error
## tolerances as specified above.  If tighter tolerances are desired they
## must be specified.  @sc{matlab} leaves the tighter tolerances appropriate
## for @code{double} inputs in place regardless of the class of the
## integration limits.
##
## Reference: @nospell{L.F. Shampine},
## @cite{@sc{matlab} program for quadrature in 2D}, Applied Mathematics and
## Computation, pp.@: 266--274, Vol 1, 2008.
##
## @seealso{integral2, dblquad, integral, quad, quadgk, quadv, quadl, quadcc,
##          trapz, integral3, triplequad}
## @end deftypefn

function [q, err, iter] = quad2d (f, xa, xb, ya, yb, varargin)

  if (nargin < 5 || mod (nargin, 2) == 0)
    print_usage ();
  endif

  if (ischar (f))
    ## Convert function given as a string to a function handle
    f = @(x) feval (f, x);
  elseif (! is_function_handle (f))
    print_usage ();
  endif

  if (! (isreal (xa) && isscalar (xa) && isreal (xb) && isscalar (xb)))
    print_usage ();
  endif

  ## Check for single or double limits to set appropriate default tolerance.
  issingle = (isa ([xa, xb], "single")
              || (! is_function_handle (ya) && isa (ya, "single"))
              || (! is_function_handle (yb) && isa (yb, "single")));

  ## Set defaults, update with any specified parameters.
  if (issingle)
    abstol = 1e-5;
    reltol = 1e-4;
  else
    abstol = 1e-10;
    reltol = 1e-6;
  endif

  vectorized = true;
  singular = true;
  idx = 1;
  maxiter = 5000;
  failureplot = false;

  while (idx < nargin - 5)
    prop = varargin{idx++};
    if (! ischar (prop))
      error ("quad2d: property PROP must be a string");
    endif

    switch (tolower (prop))
      case "abstol"
        abstol = varargin{idx++};
        if (! (isnumeric (abstol) && isscalar (abstol) && abstol >= 0))
          error ("quad2d: AbsTol value must be a numeric scalar >= 0");
        endif

      case "reltol"
        reltol = varargin{idx++};
        if (! (isnumeric (reltol) && isscalar (reltol) && reltol >= 0))
          error ("quad2d: RelTol value must be a numeric scalar >= 0");
        endif

      case "maxfunevals"
        maxiter = varargin{idx++};
        if (! (isnumeric (maxiter) && isscalar (maxiter)
               && fix (maxiter) == maxiter && maxiter >= 1))
          error ("quad2d: MaxFunEvals value must be a scalar integer >= 1");
        endif

      case "singular"
        singular = varargin{idx++};
        if (! (isscalar (singular) && isreal (singular)))
          error ("quad2d: Singular must be a logical value");
        endif

      case "vectorized"
        vectorized = varargin{idx++};
        if (! (isscalar (vectorized) && isreal (vectorized)))
          error ("quad2d: Vectorized must be a logical value");
        endif

      case "failureplot"
        failureplot = varargin{idx++};
        if (! (isscalar (failureplot) && isreal (failureplot)))
          error ("quad2d: FailurePlot must be a logical value");
        endif

      otherwise
        error ("quad2d: unknown property '%s'", prop);

    endswitch
  endwhile

  if (! vectorized)
    f = @(x, y) arrayfun (f, x, y);
  endif

  ## check upper and lower bounds of y
  if (! is_function_handle (ya))
    if (! (isreal (ya) && isscalar (ya)))
      error ("quad2d: YA must be a real scalar or a function");
    endif
    ya = @(x) ya * ones (rows (x), columns (x));
  endif
  if (! is_function_handle (yb))
    if (! (isreal (yb) && isscalar (yb)))
      error ("quad2d: YB must be a real scalar or a function");
    endif
    yb = @(x) yb * ones (rows (x), columns (x));
  endif

  iter = 0;
  qaccept = 0;
  qerraccept = 0;

  if (singular)
    ## Shampine suggests using the singularity weakening transform
    ## suggested by Havie.
    ##   \int_a^b f(x) dx = \int_0^pi f (g(t)) (dx / dt) dt
    ## where
    ##   g(t) = ((a - b) * cos(t) + (a + b)) / 2
    ##   dx = - (a - b) * sin(t) / 2 dt
    ## Now our integral is
    ##   \int_a^b \int_0^1 f(x,y) dydx
    ## as we already substitute for "y", so
    ##   gx(tx) = ((a - b) * cos(tx) + (a + b)) / 2
    ##   gy(ty) = (1 - cos(ty)) / 2
    ##   dydx = (b - a) * sin(tx) * sin(ty) / 4 dtydtx

    xtrans = @(tx) ((xa - xb) .* cos (tx) + (xa + xb)) ./ 2;
    ytrans = @(ty) (1 - cos (ty)) ./ 2;
    ztrans = @(tx, ty) (xb - xa) .* sin (tx) .* sin (ty) ./ 4;
    area = pi ^ 2;

    ## Initialize tile list
    tilelist(1) = struct ("xa", 0, "xb", pi, "ya", 0, "yb", pi, ...
                          "q", 0, "qerr", Inf);
  else
    xtrans = @(tx) tx;
    ytrans = @(ty) ty;
    ztrans = @(tx, ty)  1;
    area = (xb - xa);

    ## Initialize tile list
    tilelist(1) = struct ("xa", xa, "xb", xb, "ya", 0, "yb", 1, ...
                          "q", 0, "qerr", Inf);
  endif

  while (length (tilelist) > 0 && iter < maxiter)
    ## Get tile with the largest error
    [~, idx] = max ([tilelist.qerr]);
    tile = tilelist(idx);
    tilelist(idx) = [];

    ## Subdivide the tile into 4 subtiles
    iter += 4;
    tiles(4) = struct ("xa", tile.xa, "xb", tile.xa + (tile.xb - tile.xa) / 2,
                       "ya", tile.ya, "yb", tile.ya + (tile.yb - tile.ya) / 2,
                       "q", 0, "qerr", 0);
    tiles(3) = struct ("xa", tile.xa, "xb", tile.xa + (tile.xb - tile.xa) / 2,
                       "ya", tile.ya + (tile.yb - tile.ya) / 2, "yb", tile.yb,
                       "q", 0, "qerr", 0);
    tiles(2) = struct ("xa", tile.xa + (tile.xb - tile.xa) / 2, "xb", tile.xb,
                       "ya", tile.ya, "yb", tile.ya + (tile.yb - tile.ya) / 2,
                       "q", 0, "qerr", 0);
    tiles(1) = struct ("xa", tile.xa + (tile.xb - tile.xa) / 2, "xb", tile.xb,
                       "ya", tile.ya + (tile.yb - tile.ya) / 2, "yb", tile.yb,
                       "q", 0, "qerr", 0);

    ## Perform the quadrature of 4 subtiles
    for i = 1:4
      [tiles(i).q, tiles(i).qerr] = ...
        tensorproduct (f, ya, yb, tiles(i), xtrans, ytrans, ztrans, singular);
    endfor

    q = qaccept + sum ([[tilelist.q], tiles.q]);
    err = qerraccept + sum ([[tilelist.qerr], tiles.qerr]);
    tol = max (abstol, reltol .* abs (q));

    ## Shampine suggests taking a margin of a factor of 8 for
    ## the local tolerance.  That, and the fact that we are subdividing
    ## into 4 tiles, means we divide by 32 at this point.
    localtol = tol * ([tile.xb] - [tile.xa]) * ([tile.yb] - [tile.ya]) ...
               / area / 32;

    ## If global tolerance is met, return.
    if (err < tol)
      break;
    endif

    ## Accept the tiles meeting the tolerance, and add the others back to
    ## the list of tiles to treat.
    idx = find ([tiles.qerr] < localtol);
    qaccept += sum ([tiles(idx).q]);
    qerraccept += sum ([tiles(idx).qerr]);
    tiles(idx) = [];
    tilelist = [tilelist, tiles];
  endwhile

  ## Verify convergence
  if (iter >= maxiter)
    if (err > max (abstol, reltol .* abs (q)))
      warning (["quad2d: " ...
                "Maximum number of sub-tiles reached without convergence"]);
    else
      warning (["quad2d: " ...
                "Maximum number of sub-tiles reached, accuracy may be low"]);
    endif
    if (failureplot)
      newplot ();
      title ("quad2d : Areas needing refinement");
      for tile = tilelist
        xaa = xtrans(tile.xa);
        xbb = xtrans(tile.xb);
        y1 = ya(xaa) + ytrans(tile.ya) * (yb(xaa) - ya(xaa));
        y2 = ya(xaa) + ytrans(tile.yb) * (yb(xaa) - ya(xaa));
        y3 = ya(xbb) + ytrans(tile.yb) * (yb(xbb) - ya(xbb));
        y4 = ya(xbb) + ytrans(tile.ya) * (yb(xbb) - ya(xbb));
        patch ([xaa, xaa, xbb, xbb, xaa], [y1, y2, y3, y4, y1], "b");
      endfor
    endif
  endif

endfunction

function [q, qerr] = tensorproduct (f, ya, yb, tile, xtrans, ytrans, ztrans, singular)

  ## The Shampine TwoD paper proposes using a G3,K7 rule in a tensor product.
  ## I couldn't find a tabulated abscissas and weights of a G3,K7 rule publicly
  ## available, so use a G7,K15 rule from Octave's implementation of quadgk.

  persistent abscissa = [-0.9914553711208126e+00, -0.9491079123427585e+00, ...
                         -0.8648644233597691e+00, -0.7415311855993944e+00, ...
                         -0.5860872354676911e+00, -0.4058451513773972e+00, ...
                         -0.2077849550078985e+00,  0.0000000000000000e+00, ...
                          0.2077849550078985e+00,  0.4058451513773972e+00, ...
                          0.5860872354676911e+00,  0.7415311855993944e+00, ...
                          0.8648644233597691e+00,  0.9491079123427585e+00, ...
                          0.9914553711208126e+00];

  persistent weights15 = [0.2293532201052922e-01,  0.6309209262997855e-01, ...
                          0.1047900103222502e+00,  0.1406532597155259e+00, ...
                          0.1690047266392679e+00,  0.1903505780647854e+00, ...
                          0.2044329400752989e+00,  0.2094821410847278e+00, ...
                          0.2044329400752989e+00,  0.1903505780647854e+00, ...
                          0.1690047266392679e+00,  0.1406532597155259e+00, ...
                          0.1047900103222502e+00,  0.6309209262997855e-01, ...
                          0.2293532201052922e-01];

  persistent weights7  = [0.0, ...
                          0.1294849661688697e+00, 0.0, ...
                          0.2797053914892767e+00, 0.0, ...
                          0.3818300505051889e+00, 0.0, ...
                          0.4179591836734694e+00, 0.0, ...
                          0.3818300505051889e+00, 0.0, ...
                          0.2797053914892767e+00, 0.0, ...
                          0.1294849661688697e+00, 0.0];

  xaa = tile.xa;
  xbb = tile.xb;
  yaa = tile.ya;
  ybb = tile.yb;

  tx = ((xbb - xaa) * abscissa + xaa + xbb) / 2;
  x = xtrans(tx);
  ty = (abscissa' * (ybb - yaa)  + yaa + ybb) / 2;
  y = ones (15, 1) * ya(x) + ytrans(ty) * (yb(x) - ya(x));

  xhalfwidth = (xbb - xaa ) / 2;
  yhalfwidth = ones (15, 1) * (yb(x) - ya(x)) .* (ybb - yaa) ./ 2;

  x = ones (15, 1) * x;
  tx = ones (15,1) * tx;
  ty = ty * ones (1, 15);

  z = yhalfwidth .* f (x, y) .* ztrans(tx, ty) .* xhalfwidth;
  q = weights15 * (weights15 * z)';
  qerr = abs (weights7 * (weights7 * z)' - q);

endfunction


%!shared f
%! f = @(x, y) x .* y;
%!assert (quad2d (f, 0, 1, 0, 1), 0.25, 1e-10)

%!test
%! f = @(x, y) 9 * x.^2 + 15 * y.^2;
%!assert (quad2d (f, 0, 5, -5, 0, "AbsTol", 1e-9), 5000, 1e-9)
%!assert (quad2d (f, 0, 5, -5, 0, "RelTol", 1e-6), 5000, -1e-6)
%!assert (quad2d (f, 0, 5, -5, 0, "RelTol", 1e-6, "AbsTol", 1e-9), 5000, 1e-9)

## tests from dblquad
%!test
%! f = @(x, y) 1 ./ (x+y);
%!assert (quad2d (f, 0, 1, 0, 1, "AbsTol", 1e-7), 2*log (2), 1e-7)
%!assert (quad2d (f, 0, 1, 0, 1, "RelTol", 1e-5), 2*log (2), -1e-5)
%!assert (quad2d (f, 0, 1, 0, 1, "AbsTol", 1e-8, "RelTol", 1e-6),
%!        2*log (2), -1e-6)
%!assert (quad2d (f, 0, 1, 0, @(x) 1 - x), 1, -1e-6)
%!assert (quad2d (f, 0, 1, 0, @(x) 1 - x, "Singular", true), 1, -1e-6)

%!assert (quad2d (@(x, y) exp (-x.^2 - y.^2) , -1, 1, -1, 1),
%!        pi * erf (1).^2, 1e-10)

%!assert (quad2d (@plus, 1, 2, 3, 4), 5, 1e-10)

## Test input validation
%!error <Invalid call> quad2d ()
%!error <Invalid call> quad2d (@plus)
%!error <Invalid call> quad2d (@plus, 1)
%!error <Invalid call> quad2d (@plus, 1, 2)
%!error <Invalid call> quad2d (@plus, 1, 2, 3)
%!error <Invalid call> quad2d (@plus, 1, 2, 3, 4, "foo")
%!error quad2d (0, 1, 2, 3, 4)          # f must be function handle
%!error quad2d (@plus, 1i, 2, 3, 4)     # real limits
%!error quad2d (@plus, 1, 2i, 3, 4)     # real limits
%!error quad2d (@plus, [1 1], 2, 3, 4)  # scalar limits
%!error quad2d (@plus, 1, [2 2], 3, 4)  # scalar limits
%!error <property PROP must be a string> quad2d (@plus, 1, 2, 3, 4, 99, "bar")
%!error <AbsTol value must be a numeric> quad2d (@plus, 1, 2, 3, 4, "AbsTol", "foo")
%!error <AbsTol value must be a .* scalar> quad2d (@plus, 1, 2, 3, 4, "AbsTol", [1, 2])
%!error <AbsTol value must be.* .= 0> quad2d (@plus, 1, 2, 3, 4, "AbsTol", -1)
%!error <RelTol value must be a numeric> quad2d (@plus, 1, 2, 3, 4, "RelTol", "foo")
%!error <RelTol value must be a .* scalar> quad2d (@plus, 1, 2, 3, 4, "RelTol", [1, 2])
%!error <RelTol value must be.* .= 0> quad2d (@plus, 1, 2, 3, 4, "RelTol", -1)
%!error <MaxFunEvals value must be a scalar integer>
%! quad2d (@plus,1,2,3,4, "MaxFunEvals", {1});
%!error <MaxFunEvals value must be a scalar integer>
%! quad2d (@plus,1,2,3,4, "MaxFunEvals", [1 1]);
%!error <MaxFunEvals value must be a scalar integer>
%! quad2d (@plus,1,2,3,4, "MaxFunEvals", 1.5);
%!error <MaxFunEvals value must be a scalar integer .= 1>
%! quad2d (@plus,1,2,3,4, "MaxFunEvals", -1);
%!error <Singular must be a logical value>
%! quad2d (@plus,1,2,3,4, "Singular", [0 1]);
%!error <Singular must be a logical value>
%! quad2d (@plus,1,2,3,4, "Singular", {true});
%!error <Vectorized must be a logical value>
%! quad2d (@plus,1,2,3,4, "Vectorized", [0 1]);
%!error <Vectorized must be a logical value>
%! quad2d (@plus,1,2,3,4, "Vectorized", {true});
%!error <FailurePlot must be a logical value>
%! quad2d (@plus,1,2,3,4, "FailurePlot", [0 1]);
%!error <FailurePlot must be a logical value>
%! quad2d (@plus,1,2,3,4, "FailurePlot", {true});
%!error <unknown property 'foo'>  quad2d (@plus, 1, 2, 3, 4, "foo", "bar")
%!error <YA must be a real scalar> quad2d (@plus, 1, 2, 3i, 4)
%!error <YA must be a real scalar> quad2d (@plus, 1, 2, [3 3], 4)
%!error <YB must be a real scalar> quad2d (@plus, 1, 2, 3, 4i)
%!error <YB must be a real scalar> quad2d (@plus, 1, 2, 3, [4 4])
%!warning <Maximum number of> quad2d (@plus, 1, 2, 3, 4, "MaxFunEvals", 1);