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Cleanup documentation file matrix.texi Spellcheck Stylecheck (Mostly double spaces after periods)
author Rik <rdrider0-list@yahoo.com>
date Wed, 25 Mar 2009 08:05:35 -0700
parents eb63fbe60fab
children 7c02ec148a3c
comparison
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9040:dbd0c77e575e 9041:853f96e8008f
351 can be learned after reading 624 consecutive values.\n\ 351 can be learned after reading 624 consecutive values.\n\
352 \n\ 352 \n\
353 Older versions of Octave used a different random number generator.\n\ 353 Older versions of Octave used a different random number generator.\n\
354 The new generator is used by default\n\ 354 The new generator is used by default\n\
355 as it is significantly faster than the old generator, and produces\n\ 355 as it is significantly faster than the old generator, and produces\n\
356 random numbers with a significantly longer cycle time. However, in\n\ 356 random numbers with a significantly longer cycle time. However, in\n\
357 some circumstances it might be desirable to obtain the same random\n\ 357 some circumstances it might be desirable to obtain the same random\n\
358 sequences as used by the old generators. To do this the keyword\n\ 358 sequences as used by the old generators. To do this the keyword\n\
359 \"seed\" is used to specify that the old generators should be use,\n\ 359 \"seed\" is used to specify that the old generators should be use,\n\
360 as in\n\ 360 as in\n\
361 \n\ 361 \n\
362 @example\n\ 362 @example\n\
363 rand (\"seed\", val)\n\ 363 rand (\"seed\", val)\n\
472 @deftypefn {Loadable Function} {} randn (@var{x})\n\ 472 @deftypefn {Loadable Function} {} randn (@var{x})\n\
473 @deftypefnx {Loadable Function} {} randn (@var{n}, @var{m})\n\ 473 @deftypefnx {Loadable Function} {} randn (@var{n}, @var{m})\n\
474 @deftypefnx {Loadable Function} {} randn (\"state\", @var{x})\n\ 474 @deftypefnx {Loadable Function} {} randn (\"state\", @var{x})\n\
475 @deftypefnx {Loadable Function} {} randn (\"seed\", @var{x})\n\ 475 @deftypefnx {Loadable Function} {} randn (\"seed\", @var{x})\n\
476 Return a matrix with normally distributed pseudo-random\n\ 476 Return a matrix with normally distributed pseudo-random\n\
477 elements having zero mean and variance one. The arguments are\n\ 477 elements having zero mean and variance one. The arguments are\n\
478 handled the same as the arguments for @code{rand}.\n\ 478 handled the same as the arguments for @code{rand}.\n\
479 \n\ 479 \n\
480 By default, @code{randn} uses the Marsaglia and Tsang ``Ziggurat technique'' to\n\ 480 By default, @code{randn} uses the Marsaglia and Tsang ``Ziggurat technique'' to\n\
481 transform from a uniform to a normal distribution. (G. Marsaglia and\n\ 481 transform from a uniform to a normal distribution. (G. Marsaglia and\n\
482 W.W. Tsang, @cite{Ziggurat method for generating random variables},\n\ 482 W.W. Tsang, @cite{Ziggurat method for generating random variables},\n\
483 J. Statistical Software, vol 5, 2000,\n\ 483 J. Statistical Software, vol 5, 2000,\n\
484 @url{http://www.jstatsoft.org/v05/i08/})\n\ 484 @url{http://www.jstatsoft.org/v05/i08/})\n\
485 \n\ 485 \n\
486 @seealso{rand, rande, randg, randp}\n\ 486 @seealso{rand, rande, randg, randp}\n\
546 "-*- texinfo -*-\n\ 546 "-*- texinfo -*-\n\
547 @deftypefn {Loadable Function} {} rande (@var{x})\n\ 547 @deftypefn {Loadable Function} {} rande (@var{x})\n\
548 @deftypefnx {Loadable Function} {} rande (@var{n}, @var{m})\n\ 548 @deftypefnx {Loadable Function} {} rande (@var{n}, @var{m})\n\
549 @deftypefnx {Loadable Function} {} rande (\"state\", @var{x})\n\ 549 @deftypefnx {Loadable Function} {} rande (\"state\", @var{x})\n\
550 @deftypefnx {Loadable Function} {} rande (\"seed\", @var{x})\n\ 550 @deftypefnx {Loadable Function} {} rande (\"seed\", @var{x})\n\
551 Return a matrix with exponentially distributed random elements. The\n\ 551 Return a matrix with exponentially distributed random elements. The\n\
552 arguments are handled the same as the arguments for @code{rand}.\n\ 552 arguments are handled the same as the arguments for @code{rand}.\n\
553 \n\ 553 \n\
554 By default, @code{randn} uses the Marsaglia and Tsang ``Ziggurat technique'' to\n\ 554 By default, @code{randn} uses the Marsaglia and Tsang ``Ziggurat technique'' to\n\
555 transform from a uniform to a exponential distribution. (G. Marsaglia and\n\ 555 transform from a uniform to a exponential distribution. (G. Marsaglia and\n\
556 W.W. Tsang, @cite{Ziggurat method for generating random variables},\n\ 556 W.W. Tsang, @cite{Ziggurat method for generating random variables},\n\
557 J. Statistical Software, vol 5, 2000,\n\ 557 J. Statistical Software, vol 5, 2000,\n\
558 @url{http://www.jstatsoft.org/v05/i08/})\n\ 558 @url{http://www.jstatsoft.org/v05/i08/})\n\
559 @seealso{rand, randn, randg, randp}\n\ 559 @seealso{rand, randn, randg, randp}\n\
560 @end deftypefn") 560 @end deftypefn")
670 @example\n\ 670 @example\n\
671 r = randp (L / 2)\n\ 671 r = randp (L / 2)\n\
672 r(r > 0) = 2 * randg (r(r > 0))\n\ 672 r(r > 0) = 2 * randg (r(r > 0))\n\
673 r(df > 0) += 2 * randg (df(df > 0)/2)\n\ 673 r(df > 0) += 2 * randg (df(df > 0)/2)\n\
674 @end example\n\ 674 @end example\n\
675 @item @code{Dirichlet (a1, ..., ak)}\n\ 675 @item @code{Dirichlet (a1, @dots{} ak)}\n\
676 @example\n\ 676 @example\n\
677 r = (randg (a1), ..., randg (ak))\n\ 677 r = (randg (a1), @dots{}, randg (ak))\n\
678 r = r / sum (r)\n\ 678 r = r / sum (r)\n\
679 @end example\n\ 679 @end example\n\
680 @end table\n\ 680 @end table\n\
681 @seealso{rand, randn, rande, randp}\n\ 681 @seealso{rand, randn, rande, randp}\n\
682 @end deftypefn") 682 @end deftypefn")