Doc fixes. * 2]$$. => 2].$$ * @var{extrapval} => @var{extrapval}. * call helloworld.oct => called @file{helloworld.oct} * @itemize => @table @code * shows. => shows: * save => @code{save} * @ref{Breakpoints} => @pxref{Breakpoints} * add @noindent following example * which is computed => and compute it * clarify wording * remove comma * good => well * set => number * by writing => with the command * has the option of directly calling => can call * [-like-] {+of the right size,+} * solvers => routines * handle => test for * add introductory section * add following * {+the+} [0..bitmax] => [0,bitmax] * of the => with * number => value * add usual * Besides when doing comparisons, logical => Logical {+also+} * array comparison => array, comparisons * param => parameter * works very similar => is similar * strings, => strings * most simple => simplest * easier => more easily * like => as * called => called, * clarify wording * you should simply type => use * clarify wording * means => way * equally => also * [-way much-] {+way+} * add with mean value parameter given by the first argument, @var{l} * add Functions described as @dfn{mapping functions} apply the given operation to each element when given a matrix argument. * in this brief introduction => here * It is worth noticing => Note * add following * means => ways

--- a/doc/interpreter/optim.txi	Fri Feb 20 12:30:39 2009 +0100
+++ b/doc/interpreter/optim.txi	Fri Feb 20 11:17:01 2009 -0500
@@ -127,7 +127,7 @@
 @ifnottex
 @math{y = x*b}
 @end ifnottex
-fits data @math{(x,y)} as good as possible, assuming zero-mean
+fits data @math{(x,y)} as well as possible, assuming zero-mean
 Gaussian noise.  If the noise is assumed to be isotropic the problem
 can be solved using the @samp{\} or @samp{/} operators, or the @code{ols}
 function.  In the general case where the noise is assumed to be anisotropic