Octave

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From the official website:

GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable.

Installation

Install the octave package.

Run the GUI app with octave --gui or the CLI app with octave-cli.

Alternative graphical interfaces

The default octave GUI is included in the octave package. Alternatively, you can use one of the following unofficial GUIs:

  • Cantor — A graphical user interface that delegates its mathematical operations to one of several back ends (Scilab, Maxima, Octave and others).
https://apps.kde.org/en/cantor || cantor
  • JupyterLab — Browser-based interactive environment which supports many programming backends, including Octave.
https://github.com/jupyterlab/jupyterlab || jupyterlab+jupyter-octave_kernelAUR

Performance

Octave uses the blas package for linear algebra computation by default. However, this implementation does not take advantage of modern CPU instructions. To accelerate performance, the openblas package can be installed as a drop-in replacement for blas. Other BLAS implementations can also be used depending on available hardware, such as intel-mkl for Intel CPUs or cuda for NVIDIA GPUs.

To illustrate this point, the following code can be used to get an estimate for how many GFLOPS are being executed on an NxN matrix multiply:

N = 4096;
A = single(rand(N, N));
B = single(rand(N, N));
start = clock();
C = A * B;
elapsedTime = etime(clock(), start);
gFlops = 2 * N * N * N / (elapsedTime * 1e9)

Running the following code on an Intel Core i7-9750H:

octave ~/test_program.m
gFlops = 3.7222

After installing openblas and running the program on a single thread:

OMP_NUM_THREADS=1 octave ~/test_program.m
gFlops = 121.55

After letting openblas use all 12 threads available on the 9750H:

OMP_NUM_THREADS=12 octave ~/test_program.m
gFlops = 281.33

Octave-Forge

Octave provides a set of packages, similar to Matlab's Toolboxes, through Octave-Forge. The complete list of packages is here.

Packages can be installed #Using Octave's installer or #Using the AUR.

Using Octave's installer

Packages can be managed using Octave's installer. They are installed to ~/octave, or in a system directory with the -global option. To install a package:

octave:1> pkg install -forge packagename
Note: Some Octave's packages, like control, need the gcc-fortran ArchLinux's package in order to compile and install.

To uninstall a package:

octave:3> pkg uninstall packagename

Some packages get loaded automatically by Octave, for those which do not:

octave:4> pkg load packagename

or

octave:5> pkg load all

To see which packages have been loaded use pkg list, the packages with an asterisk are the ones that are already loaded.

A way to make sure that all packages gets loaded at Octave startup:

/usr/share/octave/site/m/startup/octaverc
## System-wide startup file for Octave.
##
## This file should contain any commands that should be executed each
## time Octave starts for every user at this site. 
 pkg load all

Using the AUR

Some packages may be found in the AUR (search packages). New Octave-forge packages for Arch can be created semi-automatically using the Octave-forge helper scripts for Archlinux.

Plotting

Qt is the default plotting backend:

>> available_graphics_toolkits
ans =
{
  [1,1] = fltk
  [1,2] = qt
}
>> graphics_toolkit
ans = qt

Alternatively you can use either FLTK or Gnuplot backend (by installing gnuplot) and running the following command:

>> graphics_toolkit("gnuplot");

To make this change permanent add it to your ~/.octaverc file.

Reading Microsoft Excel Spreadsheets

You can open .ods, .xls and .xlsx files with the odsread or xlsread function, which requires the octave-ioAUR package:

octave:1> odsread('myfile.ods');
octave:1> xlsread('myfile.xls');
octave:1> xlsread('myfile.xlsx');

Converting to CSV format

Alternatively, first convert the files to .csv using LibreOffice Calc (limited to 1024 columns) or Calligra Sheets (calligra, limited to 32768 columns).

After the conversion is complete you can use the build-in Octave function csvread for .csv files:

octave:1> csvread('myfile.csv');

Troubleshooting

Zsh Undecodable Token

If you get error

undecodable token: b(hex)[23m

when printing, install grml-zsh-config and relogin.

vi Mode Undecodable Token

Users with their .inputrc configured for vi-mode, for example, as

~/.inputrc
$include /etc/inputrc
set editing-mode vi
$if mode=vi

set show-mode-in-prompt on
set vi-ins-mode-string \1\e[6 q\2
set vi-cmd-mode-string \1\e[2 q\2

set keymap vi-command
# these are for vi-command mode
Control-l: clear-screen
Control-a: beginning-of-line

set keymap vi-insert
# these are for vi-insert mode
Control-l: clear-screen
Control-a: beginning-of-line

$endif

may have the Octave GUI prompt corrupted as q>> undecodable token: \001b(hex)[6\0020(hex). To remedy this, disable the show-mode-in-prompt setting for Octave, by changing the above .inputrc to be

~/.inputrc
$include /etc/inputrc
set editing-mode vi
$if mode=vi

$if Octave
set show-mode-in-prompt off
$else
set show-mode-in-prompt on
set vi-ins-mode-string \1\e[6 q\2
set vi-cmd-mode-string \1\e[2 q\2

set keymap vi-command
# these are for vi-command mode
Control-l: clear-screen
Control-a: beginning-of-line

set keymap vi-insert
# these are for vi-insert mode
Control-l: clear-screen
Control-a: beginning-of-line
$endif

$endif

Error loading libblas.so.3 in ARM with OpenBLAS installed

Octave fails to open due to missing libraries in ARMv7 and ARMv8, after OpenBLAS was updated to version 0.3.13-1. It shows error while loading shared libraries: libblas.so.3: cannot open shared object file. A solution is to symlink the OpenBLAS library with BLAS.

 sudo ln -s /usr/lib/libopenblas.so.3 /usr/lib/libblas.so.3

See also