/usr/share/octave/packages/3.2/miscellaneous-1.0.11/doc-cache is in octave-miscellaneous 1.0.11-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# name: cache
# type: cell
# rows: 3
# columns: 28
# name: <cell-element>
# type: string
# elements: 1
# length: 5
apply
# name: <cell-element>
# type: string
# elements: 1
# length: 1498
-- Loadable Function: RETURN_VALUE = apply
(@FUNCTION_HANDLE,CELL_ARRAY_OF_ARGS)
-- Loadable Function: RETURN_VALUE = apply (@FUNCTION_HANDLE)
Apply calls the function FUNCTION_HANDLE with the arguments of the
cell array CELL_ARRAY_OF_ARGS which contains the actual arguments
arg1,arg2,..., argn to the function, in that order. Apply invokes
the function as FUNCTION_HANDLE(arg1, arg2, ... ,argn), where the
arguments are extracted from each elements of the 1-row cell array
CELL_ARRAY_OF_ARGS.
Apply also works on array of function handles if FUNCTION_HANDLE
is passed as a cell array of a handles; in this case apply,
evaluates each function (using the handle) with the same arguments.
The cell-array argument is optional second argument, in the form
of a 1-row with multiple elements. The elements of the cell-array
form the actual arguments supplied when invoking the function
FUNCTION_HANDLE.
The return value depends on the function invoked, and the validity
of the arguments.
z=apply(@sqrt,cell([1,2; 3,4]));
z=apply(@apply,cell(@sqrt,cell([1,2; 3,4])));
apply(@sum,cell([1,2,3,4]))
apply(@max,cell([1,2,3,4]))
apply(@min,cell([1,2,3,4]))
In first case, apply computes the sqrt of the matrix [1,2; 3,4];
The second example is meta-apply, using apply on itself. The rest
of the examples invoke sum, max, min respectively.
# name: <cell-element>
# type: string
# elements: 1
# length: 80
Apply calls the function FUNCTION_HANDLE with the arguments of the cell
array CE
# name: <cell-element>
# type: string
# elements: 1
# length: 4
asci
# name: <cell-element>
# type: string
# elements: 1
# length: 688
-- Function: [STRING] = asci ([COLUMNS])
If this function is called without any input argument and without
any output argument then print a nice ASCI-table (excluding
special characters with hexcode 0x00 to 0x20) on screen with four
columns per default. If this function is called with one output
argument then return an ASCI-table string and don't print anything
on screen. Finally, if this function is called with one input
argument of type scalar then either print (no output argument) or
return (one output argument) an ASCI-table with a number of
columns given in COLUMNS.
For example,
A = asci (3);
disp (A);
# name: <cell-element>
# type: string
# elements: 1
# length: 80
If this function is called without any input argument and without any
output arg
# name: <cell-element>
# type: string
# elements: 1
# length: 13
chebyshevpoly
# name: <cell-element>
# type: string
# elements: 1
# length: 536
-- Function File: COEFS= chebyshevpoly (KIND,ORDER,X)
Compute the coefficients of the Chebyshev polynomial, given the
ORDER. We calculate the Chebyshev polynomial using the recurrence
relations, Tn+1(x) = (2*x*Tn(x) - Tn-1(x)). The KIND can set to
compute the first or second kind chebyshev polynomial.
If the value X is specified, the polynomial is also evaluated,
otherwise just the return the coefficients of the polynomial are
returned.
This is NOT the generalized Chebyshev polynomial.
# name: <cell-element>
# type: string
# elements: 1
# length: 70
Compute the coefficients of the Chebyshev polynomial, given the ORDER.
# name: <cell-element>
# type: string
# elements: 1
# length: 10
colorboard
# name: <cell-element>
# type: string
# elements: 1
# length: 1540
-- Function File: colorboard (M, PALETTE, OPTIONS)
Displays a color board corresponding to a numeric matrix M. M
should contain zero-based indices of colors. The available range
of indices is given by the PALETTE argument, which can be one of
the following:
* "b&w" Black & white, using reverse video mode. This is the
default if M is logical.
* "ansi8" The standard ANSI 8 color palette. This is the
default unless M is logical.
* "aix16" The AIXTerm extended 16-color palette. Uses codes
100:107 for bright colors.
* "xterm16" The first 16 system colors of the Xterm 256-color
palette.
* "xterm216" The 6x6x6 color cube of the Xterm 256-color
palette. In this case, matrix can also be passed as a
MxNx3 RGB array with values 0..5.
* "grayscale" The 24 grayscale levels of the Xterm 256-color
palette.
* "xterm256" The full Xterm 256-color palette. The three
above palettes together.
OPTIONS comprises additional options. The recognized options are:
* "indent" The number of spaces by which the board is
indented. Default 2.
* "spaces" The number of spaces forming one field. Default 2.
* "horizontalseparator" The character used for horizontal
separation of the table. Default "#".
* "verticalseparator" The character used for vertical
separation of the table. Default "|".
# name: <cell-element>
# type: string
# elements: 1
# length: 59
Displays a color board corresponding to a numeric matrix M.
# name: <cell-element>
# type: string
# elements: 1
# length: 9
csv2latex
# name: <cell-element>
# type: string
# elements: 1
# length: 137
You should have received a copy of the GNU General Public License
along with this program; If not, see <http://www.gnu.org/licenses/>.
# name: <cell-element>
# type: string
# elements: 1
# length: 80
You should have received a copy of the GNU General Public License
along with t
# name: <cell-element>
# type: string
# elements: 1
# length: 10
gameoflife
# name: <cell-element>
# type: string
# elements: 1
# length: 333
-- Function File: B = gameoflife (A, ngen, delay)
Runs the Conways' game of life from a given initial state for a
given number of generations and visualizes the process. If ngen
is infinity, the process is run as long as A changes. Delay sets
the pause between two frames. If zero, visualization is not done.
# name: <cell-element>
# type: string
# elements: 1
# length: 80
Runs the Conways' game of life from a given initial state for a given
number of
# name: <cell-element>
# type: string
# elements: 1
# length: 11
hermitepoly
# name: <cell-element>
# type: string
# elements: 1
# length: 352
-- Function File: COEFS= hermitepoly (ORDER,X)
Compute the coefficients of the Hermite polynomial, given the
ORDER. We calculate the Hermite polynomial using the recurrence
relations, Hn+1(x) = 2x.Hn(x) - 2nHn-1(x).
If the value X is specified, the polynomial is also evaluated,
otherwise just the return the coefficients.
# name: <cell-element>
# type: string
# elements: 1
# length: 68
Compute the coefficients of the Hermite polynomial, given the ORDER.
# name: <cell-element>
# type: string
# elements: 1
# length: 13
hilbert_curve
# name: <cell-element>
# type: string
# elements: 1
# length: 322
-- Function file: X, Y hilbert_curve (N)
Creates an iteration of the Hilbert space-filling curve with N
points. The argument N must be of the form `2^M', where M is an
integer greater than 0.
n = 8
[x ,y] = hilbert_curve (n);
line (x, y, "linewidth", 4, "color", "blue");
# name: <cell-element>
# type: string
# elements: 1
# length: 70
Creates an iteration of the Hilbert space-filling curve with N points.
# name: <cell-element>
# type: string
# elements: 1
# length: 12
infoskeleton
# name: <cell-element>
# type: string
# elements: 1
# length: 371
-- Function File: infoskeleton (PROTOTYPE, INDEX_STR, SEE_ALSO)
The function INFOSKELETON generates TeXinfo skeleton documentation
of the given PROTOTYPE. Optionally INDEX_STR and SEE_ALSO can be
specified.
Usage of this function is typically,
infoskeleton('[V,Q] = eig( A )','linear algebra','eigs, chol, qr, det')
See also: info
# name: <cell-element>
# type: string
# elements: 1
# length: 80
The function INFOSKELETON generates TeXinfo skeleton documentation of
the given
# name: <cell-element>
# type: string
# elements: 1
# length: 12
laguerrepoly
# name: <cell-element>
# type: string
# elements: 1
# length: 461
-- Function File: COEFS= laguerrepoly (ORDER,X)
Compute the coefficients of the Laguerre polynomial, given the
ORDER. We calculate the Laguerre polynomial using the recurrence
relations, Ln+1(x) = inv(n+1)*((2n+1-x)Ln(x) - nLn-1(x)).
If the value X is specified, the polynomial is also evaluated,
otherwise just the return the coefficients of the polynomial are
returned.
This is NOT the generalized Laguerre polynomial.
# name: <cell-element>
# type: string
# elements: 1
# length: 69
Compute the coefficients of the Laguerre polynomial, given the ORDER.
# name: <cell-element>
# type: string
# elements: 1
# length: 7
lauchli
# name: <cell-element>
# type: string
# elements: 1
# length: 417
-- Function File: A = lauchli (N)
-- Function File: A = lauchli (N,MU)
Creates the matrix [ ones(1,N); MU*eye(N) ] The value MU defaults
to sqrt(eps). This is an ill-conditioned system for testing the
accuracy of the QR routine.
A = lauchli(15);
[Q, R] = qr(A);
norm(Q*R - A)
norm(Q'*Q - eye(rows(Q)))
See also: ones, zeros, eye
# name: <cell-element>
# type: string
# elements: 1
# length: 79
Creates the matrix [ ones(1,N); MU*eye(N) ] The value MU defaults to
sqrt(eps).
# name: <cell-element>
# type: string
# elements: 1
# length: 12
legendrepoly
# name: <cell-element>
# type: string
# elements: 1
# length: 462
-- Function File: COEFS= legendrepoly (ORDER,X)
Compute the coefficients of the Legendre polynomial, given the
ORDER. We calculate the Legendre polynomial using the recurrence
relations, Pn+1(x) = inv(n+1)*((2n+1)*x*Pn(x) - nPn-1(x)).
If the value X is specified, the polynomial is also evaluated,
otherwise just the return the coefficients of the polynomial are
returned.
This is NOT the generalized Legendre polynomial.
# name: <cell-element>
# type: string
# elements: 1
# length: 69
Compute the coefficients of the Legendre polynomial, given the ORDER.
# name: <cell-element>
# type: string
# elements: 1
# length: 3
map
# name: <cell-element>
# type: string
# elements: 1
# length: 1215
-- Function File: RESULT = map ( fun_handle, varargin )
usage: result = map ( FUN_HANDLE, ARG1, ... )
`map', like Lisp's ( & numerous other language's ) function for
iterating the result of a function applied to each of the data
structure's elements in turn. The results are stored in the
corresponding input's place. For now, just will work with cells and
matrices, but support for structs are intended for future versions.
Also, only "prefix" functions ( like `min (a, b, c, ...)' ) are
supported. FUN_HANDLE can either be a function name string or a
function handle (recommended).
Example:
octave> A
A
{
[1,1] = 0.0096243
[2,1] = 0.82781
[1,2] = 0.052571
[2,2] = 0.84645
}
octave> B
B =
{
[1,1] = 0.75563
[2,1] = 0.84858
[1,2] = 0.16765
[2,2] = 0.85477
}
octave> map(@min,A,B)
ans =
{
[1,1] = 0.0096243
[2,1] = 0.82781
[1,2] = 0.052571
[2,2] = 0.84645
}
See also: reduce, match, apply
# name: <cell-element>
# type: string
# elements: 1
# length: 41
usage: result = map ( FUN_HANDLE, ARG1, .
# name: <cell-element>
# type: string
# elements: 1
# length: 5
match
# name: <cell-element>
# type: string
# elements: 1
# length: 922
-- Function File: RESULT = match ( FUN_HANDLE, ITERABLE )
match is filter, like Lisp's ( & numerous other language's )
function for Python has a built-in filter function which takes two
arguments, a function and a list, and returns a list. 'match'
performs the same operation like filter in Python. The match
applies the function to each of the element in the ITERABLE and
collects that the result of a function applied to each of the data
structure's elements in turn, and the return values are collected
as a list of input arguments, whenever the function-result is
'true' in Octave sense. Anything (1,true,?) evaluating to true,
the argument is saved into the return value.
FUN_HANDLE can either be a function name string or a function
handle (recommended).
Typically you can use it as,
match(@(x) ( x >= 1 ), [-1 0 1 2])
[1, 2]
# name: <cell-element>
# type: string
# elements: 1
# length: 80
match is filter, like Lisp's ( & numerous other language's ) function
for Python
# name: <cell-element>
# type: string
# elements: 1
# length: 3
nze
# name: <cell-element>
# type: string
# elements: 1
# length: 147
-- Function File: [Y, F] = nze (X)
Extract nonzero elements of X. Equivalent to `X(X != 0)'.
Optionally, returns also linear indices.
# name: <cell-element>
# type: string
# elements: 1
# length: 30
Extract nonzero elements of X.
# name: <cell-element>
# type: string
# elements: 1
# length: 11
peano_curve
# name: <cell-element>
# type: string
# elements: 1
# length: 316
-- Function file: X, Y peano_curve (N)
Creates an iteration of the Peano space-filling curve with N
points. The argument N must be of the form `3^M', where M is an
integer greater than 0.
n = 9;
[x, y] = peano_curve (n);
line (x, y, "linewidth", 4, "color", "red");
# name: <cell-element>
# type: string
# elements: 1
# length: 68
Creates an iteration of the Peano space-filling curve with N points.
# name: <cell-element>
# type: string
# elements: 1
# length: 7
publish
# name: <cell-element>
# type: string
# elements: 1
# length: 1772
-- Function File: publish (FILENAME)
-- Function File: publish (FILENAME, OPTIONS)
Produces latex reports from scripts.
publish (MY_SCRIPT)
where the argument is a string that contains the file name of the
script we want to report.
If two arguments are given, they are interpreted as follows.
publish (FILENAME, [OPTION, VALUE, ...])
The following options are available:
* format
the only available format values are the strings `latex' and
`html'.
* imageFormat:
string that specifies the image format, valid formats are
`pdf', `png', and `jpg'(or `jpeg').
* showCode:
boolean value that specifies if the source code will be
included in the report.
* evalCode:
boolean value that specifies if execution results will be
included in the report.
Default OPTIONS
* format = latex
* imageFormat = pdf
* showCode = 1
* evalCode = 1
Remarks
* Any additional non-valid field is removed without
notification.
* To include several figures in the resulting report you must
use figure with a unique number for each one of them.
* You do not have to save the figures manually, publish will do
it for you.
* The functions works only for the current path and no way ...
to specify other path is allowed.
Assume you have the script `myscript.m' which looks like
x = 0:0.1:pi;
y = sin(x)
figure(1)
plot(x,y);
figure(2)
plot(x,y.^2);
You can then call publish with default OPTIONS
publish("myscript")
# name: <cell-element>
# type: string
# elements: 1
# length: 36
Produces latex reports from scripts.
# name: <cell-element>
# type: string
# elements: 1
# length: 12
read_options
# name: <cell-element>
# type: string
# elements: 1
# length: 1926
-- Function File: [OP,NREAD] = read_options ( args, varargin )
The function read_options parses arguments to a function as,
[ops,nread] = read_options (args,...) - Read options
The input being ARGS a list of options and values. The options
can be any of the following,
'op0' , string : Space-separated names of opt taking no
argument <">
'op1' , string : Space-separated names of opt taking one
argument <">
'extra' , string : Name of nameless trailing arguments.
<">
'default', struct : Struct holding default option values
<none>
'prefix' , int : If false, only accept whole opt names.
Otherwise, <0> recognize opt from first chars,
and choose shortest if many opts start alike.
'nocase' , int : If set, ignore case in option names
<0>
'quiet' , int : Behavior when a non-string or unknown opt is
met <0> 0 - Produce an error 1 -
Return quietly (can be diagnosed by checking 'nread')
'skipnan', int : Ignore NaNs if there is a default value.
Note : At least one of 'op0' or 'op1' should be specified.
The output variables are, OPS : struct : Struct whose
key/values are option names/values NREAD : int : Number of
elements of args that were read
USAGE
# Define options and defaults
op0 = "is_man is_plane flies"
default = struct ("is_man",1, "flies",0);
# Read the options
s = read_options (list (all_va_args), "op0",op0,"default",default)
# Create variables w/ same name as options
[is_man, is_plane, flies] = getfields (s,"is_man", "is_plane", "flies")
pre 2.1.39 function [op,nread] = read_options (args, ...)
See also
# name: <cell-element>
# type: string
# elements: 1
# length: 80
The function read_options parses arguments to a function as,
[ops,nread] = read_
# name: <cell-element>
# type: string
# elements: 1
# length: 6
reduce
# name: <cell-element>
# type: string
# elements: 1
# length: 959
-- Function File: X = reduce (FUNCTION, SEQUENCE,INITIALIZER)
-- Function File: X = reduce (FUNCTION, SEQUENCE)
Implements the 'reduce' operator like in Lisp, or Python. Apply
function of two arguments cumulatively to the items of sequence,
from left to right, so as to reduce the sequence to a single
value. For example, reduce(@(x,y)(x+y), [1, 2, 3, 4, 5])
calculates ((((1+2)+3)+4)+5). The left argument, x, is the
accumulated value and the right argument, y, is the update value
from the sequence. If the optional initializer is present, it is
placed before the items of the sequence in the calculation, and
serves as a default when the sequence is empty. If initializer is
not given and sequence contains only one item, the first item is
returned.
reduce(@add,[1:10])
=> 55
reduce(@(x,y)(x*y),[1:7])
=> 5040 (actually, 7!)
See also: map
# name: <cell-element>
# type: string
# elements: 1
# length: 57
Implements the 'reduce' operator like in Lisp, or Python.
# name: <cell-element>
# type: string
# elements: 1
# length: 9
rolldices
# name: <cell-element>
# type: string
# elements: 1
# length: 372
-- Function File: rolldices (n)
-- Function File: rolldices (n, nrep, delay)
Returns n random numbers from the 1:6 range, displaying a visual
selection effect. nrep sets the number of rolls, delay specifies
time between successive rolls in seconds. Default is nrep = 25 and
delay = 0.1. Requires a terminal with ANSI escape sequences
enabled.
# name: <cell-element>
# type: string
# elements: 1
# length: 80
Returns n random numbers from the 1:6 range, displaying a visual
selection effec
# name: <cell-element>
# type: string
# elements: 1
# length: 10
slurp_file
# name: <cell-element>
# type: string
# elements: 1
# length: 309
-- Function File: S = slurp_file ( f )
slurp_file return a whole text file F as a string S.
F : string : filename S : string : contents of the file
If F is not an absolute filename, and is not an immediately
accessible file, slurp_file () will look for F in the path.
See also
# name: <cell-element>
# type: string
# elements: 1
# length: 52
slurp_file return a whole text file F as a string S.
# name: <cell-element>
# type: string
# elements: 1
# length: 11
solvesudoku
# name: <cell-element>
# type: string
# elements: 1
# length: 313
-- Function File: [ X, NTRIAL] = solvesudoku (S)
Solves a classical 9x9 sudoku. S should be a 9x9 array with
numbers from 0:9. 0 indicates empty field. Returns the filled
table or empty matrix if no solution exists. If requested, NTRIAL
returns the number of trial-and-error steps needed.
# name: <cell-element>
# type: string
# elements: 1
# length: 30
Solves a classical 9x9 sudoku.
# name: <cell-element>
# type: string
# elements: 1
# length: 9
temp_name
# name: <cell-element>
# type: string
# elements: 1
# length: 519
-- Function File: N = temp_name ( rootname, quick )
name = temp_name(rootname, quick=1) - Return a name that is not
used
Returns a name, suitable for defining a new function, script or
global variable, of the form
[rootname,number]
Default rootname is "temp_name_"
"quick" is an optional parameter, which defaults to 1. If it is
false, temp_name() will find the smallest acceptable number for
the name. Otherwise, a hopefully quicker method is used.
See also
# name: <cell-element>
# type: string
# elements: 1
# length: 69
name = temp_name(rootname, quick=1) - Return a name that is not used
# name: <cell-element>
# type: string
# elements: 1
# length: 5
units
# name: <cell-element>
# type: string
# elements: 1
# length: 804
-- Function File: units (FROMUNIT, TOUNIT)
-- Function File: units (FROMUNIT, TOUNIT, X)
Return the conversion factor from FROMUNIT to TOUNIT measurements.
This is an octave interface to the *GNU Units* program which comes
with an annotated, extendable database defining over two thousand
measurement units. See `man units' or
`http://www.gnu.org/software/units' for more information. If the
optional argument X is supplied, return that argument multiplied
by the conversion factor. Nonlinear conversions such as
Fahrenheit to Celsius are not currently supported. For example, to
convert three values from miles per hour into meters per second:
units ("mile/hr", "m/sec", [30, 55, 75])
ans =
13.411 24.587 33.528
# name: <cell-element>
# type: string
# elements: 1
# length: 66
Return the conversion factor from FROMUNIT to TOUNIT measurements.
# name: <cell-element>
# type: string
# elements: 1
# length: 8
xmlwrite
# name: <cell-element>
# type: string
# elements: 1
# length: 210
-- Function File: NB = xmlwrite (FILENAME, VALUE)
-- Function File: NB = xmlwrite (FD, VALUE, [NAME])
Write a VALUE into FILENAME (FD) as a XML file.
The number of elements (NB) or 0 is returned.
# name: <cell-element>
# type: string
# elements: 1
# length: 47
Write a VALUE into FILENAME (FD) as a XML file.
# name: <cell-element>
# type: string
# elements: 1
# length: 7
z_curve
# name: <cell-element>
# type: string
# elements: 1
# length: 310
-- Function file: X, Y z_curve (N)
Creates an iteration of the Z-order space-filling curve with N
points. The argument N must be of the form `2^M', where M is an
integer greater than 0.
n = 8
[x ,y] = z_curve (n);
line (x, y, "linewidth", 4, "color", "blue");
# name: <cell-element>
# type: string
# elements: 1
# length: 70
Creates an iteration of the Z-order space-filling curve with N points.
# name: <cell-element>
# type: string
# elements: 1
# length: 6
zagzig
# name: <cell-element>
# type: string
# elements: 1
# length: 627
-- Function File: zagzig (MTRX)
Returns zagzig walk-off of the elements of MTRX. Essentially it
walks the matrix in a Z-fashion.
mat = 1 4 7 2 5 8 3 6 9 then zagzag(mat) gives
the output, [1 4 2 3 5 7 8 6 9], by walking as shown in the figure
from pt 1 in that order of output. The argument MTRX should be a
MxN matrix. One use of zagzig the use with picking up DCT
coefficients like in the JPEG algorithm for compression.
An example of zagzig use:
mat = reshape(1:9,3,3);
zagzag(mat)
ans =[1 4 2 3 5 7 8 6 9]
See also: zigzag
# name: <cell-element>
# type: string
# elements: 1
# length: 48
Returns zagzig walk-off of the elements of MTRX.
# name: <cell-element>
# type: string
# elements: 1
# length: 6
zigzag
# name: <cell-element>
# type: string
# elements: 1
# length: 550
-- Function File: zigzag (MTRX)
Returns zigzag walk-off of the elements of MTRX. Essentially it
walks the matrix in a Z-fashion.
mat = 1 4 7 2 5 8 3 6 9 then zigzag(mat) gives
the output, [1 2 4 7 5 3 6 8 9], by walking as
shown in the figure from pt 1 in that order of output. The
argument MTRX should be a MxN matrix
An example of zagzig use:
mat = reshape(1:9,3,3);
zigzag(mat)
ans =[1 2 4 7 5 3 6 8 9]
See also: zagzig
# name: <cell-element>
# type: string
# elements: 1
# length: 48
Returns zigzag walk-off of the elements of MTRX.
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