@c Copyright (C) 1996-2011 John W. Eaton
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@node Matrix Manipulation
@chapter Matrix Manipulation

There are a number of functions available for checking to see if the
elements of a matrix meet some condition, and for rearranging the
elements of a matrix.  For example, Octave can easily tell you if all
the elements of a matrix are finite, or are less than some specified
value.  Octave can also rotate the elements, extract the upper- or
lower-triangular parts, or sort the columns of a matrix.

@menu
* Finding Elements and Checking Conditions::  
* Rearranging Matrices::        
* Applying a Function to an Array::
* Special Utility Matrices::    
* Famous Matrices::             
@end menu

@node Finding Elements and Checking Conditions
@section Finding Elements and Checking Conditions

The functions @code{any} and @code{all} are useful for determining
whether any or all of the elements of a matrix satisfy some condition.
The @code{find} function is also useful in determining which elements of
a matrix meet a specified condition.

@DOCSTRING(any)

@DOCSTRING(all)

Since the comparison operators (@pxref{Comparison Ops}) return matrices
of ones and zeros, it is easy to test a matrix for many things, not just
whether the elements are nonzero.  For example,

@example
@group
all (all (rand (5) < 0.9))
     @result{} 0
@end group
@end example

@noindent
tests a random 5 by 5 matrix to see if all of its elements are less
than 0.9.

Note that in conditional contexts (like the test clause of @code{if} and
@code{while} statements) Octave treats the test as if you had typed
@code{all (all (condition))}.

@DOCSTRING(xor)

@DOCSTRING(diff)

@DOCSTRING(isinf)

@DOCSTRING(isnan)

@DOCSTRING(isfinite)

@DOCSTRING(common_size)

@DOCSTRING(find)
        
@DOCSTRING(lookup)

If you wish to check if a variable exists at all, instead of properties
its elements may have, consult @ref{Status of Variables}.

@node Rearranging Matrices
@section Rearranging Matrices

@DOCSTRING(fliplr)

@DOCSTRING(flipud)

@DOCSTRING(flipdim)

@DOCSTRING(rot90)

@DOCSTRING(rotdim)

@DOCSTRING(cat)

@DOCSTRING(horzcat)

@DOCSTRING(vertcat)

@DOCSTRING(permute)

@DOCSTRING(ipermute)

@DOCSTRING(reshape)

@DOCSTRING(resize)

@DOCSTRING(circshift)

@DOCSTRING(shift)

@DOCSTRING(shiftdim)

@DOCSTRING(sort)

@DOCSTRING(sortrows)

@DOCSTRING(issorted)

@DOCSTRING(nth_element)

@anchor{doc-triu}
@DOCSTRING(tril)

@DOCSTRING(vec)

@DOCSTRING(vech)

@DOCSTRING(prepad)

@DOCSTRING(postpad)

@DOCSTRING(diag)

@DOCSTRING(blkdiag)

@node Applying a Function to an Array
@section Applying a Function to an Array

@DOCSTRING(arrayfun)

@DOCSTRING(bsxfun)

@node Special Utility Matrices
@section Special Utility Matrices

@DOCSTRING(eye)

@DOCSTRING(ones)

@DOCSTRING(zeros)

@DOCSTRING(repmat)

@DOCSTRING(repelems)

The functions @code{linspace} and @code{logspace} make it very easy to
create vectors with evenly or logarithmically spaced elements.
@xref{Ranges}.

@DOCSTRING(linspace)

@DOCSTRING(logspace)

@DOCSTRING(rand)

@DOCSTRING(randi)

@DOCSTRING(randn)

@DOCSTRING(rande)

@DOCSTRING(randp)

@DOCSTRING(randg)

The generators operate in the new or old style together, it is not
possible to mix the two.  Initializing any generator with
@code{"state"} or @code{"seed"} causes the others to switch to the
same style for future calls.

The state of each generator is independent and calls to different
generators can be interleaved without affecting the final result.  For
example,

@example
@group
rand ("state", [11, 22, 33]);
randn ("state", [44, 55, 66]);
u = rand (100, 1);
n = randn (100, 1);
@end group
@end example

@noindent
and

@example
@group
rand ("state", [11, 22, 33]);
randn ("state", [44, 55, 66]);
u = zeros (100, 1);
n = zeros (100, 1);
for i = 1:100
  u(i) = rand ();
  n(i) = randn ();
end
@end group
@end example

@noindent
produce equivalent results.  When the generators are initialized in
the old style with @code{"seed"} only @code{rand} and @code{randn} are
independent, because the old @code{rande}, @code{randg} and
@code{randp} generators make calls to @code{rand} and @code{randn}.

The generators are initialized with random states at start-up, so
that the sequences of random numbers are not the same each time you run
Octave.@footnote{The old versions of @code{rand} and @code{randn}
obtain their initial seeds from the system clock.} If you really do
need to reproduce a sequence of numbers exactly, you can set the state
or seed to a specific value.

If invoked without arguments, @code{rand} and @code{randn} return a
single element of a random sequence.

The original @code{rand} and @code{randn} functions use Fortran code from
@sc{ranlib}, a library of Fortran routines for random number generation,
compiled by Barry W. Brown and James Lovato of the Department of
Biomathematics at The University of Texas, M.D. Anderson Cancer Center,
Houston, TX 77030.

@DOCSTRING(randperm)

@node Famous Matrices
@section Famous Matrices

The following functions return famous matrix forms.

@DOCSTRING(hadamard)

@DOCSTRING(hankel)

@DOCSTRING(hilb)

@DOCSTRING(invhilb)

@DOCSTRING(magic)

@DOCSTRING(pascal)

@DOCSTRING(rosser)

@DOCSTRING(sylvester_matrix)

@DOCSTRING(toeplitz)

@DOCSTRING(vander)

@DOCSTRING(wilkinson)
