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comparison src/DLD-FUNCTIONS/rand.cc @ 9064:7c02ec148a3c

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Check grammar on all .cc files Same check as previously done on .m files Attempt to enforce some conformity in documentation text for rules such as two spaces after a period, commas around latin abbreviations, etc.
author Rik <rdrider0-list@yahoo.com>
date Sat, 28 Mar 2009 13:57:22 -0700
parents 853f96e8008f
children 610bf90fce2a
comparison
equal deleted inserted replaced
9063:a6cf0ad87eee 9064:7c02ec148a3c
322 \n\ 322 \n\
323 @example\n\ 323 @example\n\
324 v = rand (\"state\")\n\ 324 v = rand (\"state\")\n\
325 @end example\n\ 325 @end example\n\
326 \n\ 326 \n\
327 This returns a column vector @var{v} of length 625. Later, you can\n\ 327 This returns a column vector @var{v} of length 625. Later, you can\n\
328 restore the random number generator to the state @var{v}\n\ 328 restore the random number generator to the state @var{v}\n\
329 using the form\n\ 329 using the form\n\
330 \n\ 330 \n\
331 @example\n\ 331 @example\n\
332 rand (\"state\", v)\n\ 332 rand (\"state\", v)\n\
361 \n\ 361 \n\
362 @example\n\ 362 @example\n\
363 rand (\"seed\", val)\n\ 363 rand (\"seed\", val)\n\
364 @end example\n\ 364 @end example\n\
365 \n\ 365 \n\
366 which sets the seed of the generator to @var{val}. The seed of the\n\ 366 which sets the seed of the generator to @var{val}. The seed of the\n\
367 generator can be queried with\n\ 367 generator can be queried with\n\
368 \n\ 368 \n\
369 @example\n\ 369 @example\n\
370 s = rand (\"seed\")\n\ 370 s = rand (\"seed\")\n\
371 @end example\n\ 371 @end example\n\
634 @example\n\ 634 @example\n\
635 r = b * randg (a)\n\ 635 r = b * randg (a)\n\
636 @end example\n\ 636 @end example\n\
637 @item @code{beta (a, b)} for @code{a > -1}, @code{b > -1}\n\ 637 @item @code{beta (a, b)} for @code{a > -1}, @code{b > -1}\n\
638 @example\n\ 638 @example\n\
639 @group\n\
639 r1 = randg (a, 1)\n\ 640 r1 = randg (a, 1)\n\
640 r = r1 / (r1 + randg (b, 1))\n\ 641 r = r1 / (r1 + randg (b, 1))\n\
642 @end group\n\
641 @end example\n\ 643 @end example\n\
642 @item @code{Erlang (a, n)}\n\ 644 @item @code{Erlang (a, n)}\n\
643 @example\n\ 645 @example\n\
644 r = a * randg (n)\n\ 646 r = a * randg (n)\n\
645 @end example\n\ 647 @end example\n\
666 r = randp ((1 - p) / p * randg (n))\n\ 668 r = randp ((1 - p) / p * randg (n))\n\
667 @end example\n\ 669 @end example\n\
668 @item non-central @code{chisq (df, L)}, for @code{df >= 0} and @code{L > 0}\n\ 670 @item non-central @code{chisq (df, L)}, for @code{df >= 0} and @code{L > 0}\n\
669 (use chisq if @code{L = 0})\n\ 671 (use chisq if @code{L = 0})\n\
670 @example\n\ 672 @example\n\
673 @group\n\
671 r = randp (L / 2)\n\ 674 r = randp (L / 2)\n\
672 r(r > 0) = 2 * randg (r(r > 0))\n\ 675 r(r > 0) = 2 * randg (r(r > 0))\n\
673 r(df > 0) += 2 * randg (df(df > 0)/2)\n\ 676 r(df > 0) += 2 * randg (df(df > 0)/2)\n\
677 @end group\n\
674 @end example\n\ 678 @end example\n\
675 @item @code{Dirichlet (a1, @dots{} ak)}\n\ 679 @item @code{Dirichlet (a1, @dots{} ak)}\n\
676 @example\n\ 680 @example\n\
681 @group\n\
677 r = (randg (a1), @dots{}, randg (ak))\n\ 682 r = (randg (a1), @dots{}, randg (ak))\n\
678 r = r / sum (r)\n\ 683 r = r / sum (r)\n\
684 @end group\n\
679 @end example\n\ 685 @end example\n\
680 @end table\n\ 686 @end table\n\
681 @seealso{rand, randn, rande, randp}\n\ 687 @seealso{rand, randn, rande, randp}\n\
682 @end deftypefn") 688 @end deftypefn")
683 { 689 {
867 "-*- texinfo -*-\n\ 873 "-*- texinfo -*-\n\
868 @deftypefn {Loadable Function} {} randp (@var{l}, @var{x})\n\ 874 @deftypefn {Loadable Function} {} randp (@var{l}, @var{x})\n\
869 @deftypefnx {Loadable Function} {} randp (@var{l}, @var{n}, @var{m})\n\ 875 @deftypefnx {Loadable Function} {} randp (@var{l}, @var{n}, @var{m})\n\
870 @deftypefnx {Loadable Function} {} randp (\"state\", @var{x})\n\ 876 @deftypefnx {Loadable Function} {} randp (\"state\", @var{x})\n\
871 @deftypefnx {Loadable Function} {} randp (\"seed\", @var{x})\n\ 877 @deftypefnx {Loadable Function} {} randp (\"seed\", @var{x})\n\
872 Return a matrix with Poisson distributed random elements with mean value parameter given by the first argument, @var{l}. The arguments\n\ 878 Return a matrix with Poisson distributed random elements with mean value parameter given by the first argument, @var{l}. The arguments\n\
873 are handled the same as the arguments for @code{rand}, except for the\n\ 879 are handled the same as the arguments for @code{rand}, except for the\n\
874 argument @var{l}.\n\ 880 argument @var{l}.\n\
875 \n\ 881 \n\
876 Five different algorithms are used depending on the range of @var{l}\n\ 882 Five different algorithms are used depending on the range of @var{l}\n\
877 and whether or not @var{l} is a scalar or a matrix.\n\ 883 and whether or not @var{l} is a scalar or a matrix.\n\