Does anybody know how to build Octave for x64 Windows? The 2GB data limitation for x32 is too limiting for many problems that require analysis on large data sets.
http://wiki.octave.org/Octave_for_Microsoft_Windows has information on installing Octave on Windows and links to building it from source using different methods.
GNU Octave is primarily developed on GNU/Linux and other POSIX conformal systems. The ports of GNU Octave to Windows use different approaches to get most of the original Octave and adapt it to Microsoft Windows idiosyncrasies...
Windows support is experimental.
According to http://www.gnu.org/software/octave/doc/interpreter/Compiling-Octave-with-64_002dbit-Indexing.html
To use arrays larger than 2 GB, Octave has to be configured with the option --enable-64. This option is experimental...
Compiling Octave for 64 bit is experimental on Linux. It might cause a lot of headache to try an experimental feature in a port of the software. It would be better to use a true Linux installation for now. If you feel adventurous, try compiling it in http://www.cygwin.com/
I have installed Octave-4.0.0 into windows 7,8 and 10 in x64 platforms. All works perfectly well.
Just follow these steps
Open it in Octave and find
try install general-1.3.4.tar.gz, and try install signal-1.3.1.tar.gz, the versions are wrong.
Replace with 2.0.0 and 1.3.2 respectively.
In the build_packages.m file find
pkg ('install', pkgname, '-noauto').
Change it to
pkg ('install', pkgname).
Skip this and you will have to load the packages you require every time you use Octave. Lesser load for octave though. Sometimes it may take a while for the packages to get installed, kindly wait.
Run build_packages.m
load the packages
e.g. to load the general package - pkg load general
Note that the signal package is dependent on the control package.
I found that the plot function got octave stuck. The answer for the same is to type in at the command window
pkg rebuild -noauto oct2mat
Found this solution in Plot window not responding
Hope this works for u too. :)
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