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Matlab 2018b 32 bit
Matlab 2018b 32 bit






  1. #Matlab 2018b 32 bit code#
  2. #Matlab 2018b 32 bit license#

#Matlab 2018b 32 bit code#

The code was tested and works on both Python 2.7.6 and Python 3.4.3 under Ubuntu 14 operation system (it requires a graphical desktop environment, e.g. I dont see anywhere on the mathworks site where you can choose to download the 32-bit rather than the 64-bit version. However, the codes are aimed for the latest versions of Matlab (versions after 2015). I need to use a 32-bit version of MATLAB but when I try to download 2013b it automatically downloads the 64-bit version. Tested versions: Matlab 2012b 32-bit (Windows 7), Matlab 2018b 64-bit (Windows 7). The codes were tested on various versions of MatLab software, and it should work without any problems even on older versions. The codes do not require any additional MatLab Toolboxes MajMinDC_plot.py - Python subroutine for plotting and saving trinity of beach-balls.

matlab 2018b 32 bit

  • MajMinDC.zip - Zip package containing all Matlab codes for computing Major and Minor DC decomposition from a given non-DC MT.
  • (2019): Seismotectonics of the 2018 Northern Osaka M6.1 earthquake and its aftershocks: joint movements on strike-slip and reverse faults in inland Japan, Earth, Planets and Space, 71:34.
  • Hallo, M., Opršal, I., Asano, K., Gallovič, F.
  • matlab 2018b 32 bit

    (2017): Bayesian inference and interpretation of centroid moment tensors of the 2016 Kumamoto earthquake sequence, Kyushu, Japan, Earth, Planets and Space, 69:134.

    #Matlab 2018b 32 bit license#

    The Python script can be used for plotting of the trinity of beach-balls.Ĭodes are published under the GNU General Public License (GNU GPL) for non-commercial use. The dominant axis direction is preserved for both the major and minor DC MTs.

    matlab 2018b 32 bit

    Description Download Requirements Main Page Major and Minor DC MT decomposition preserving the dominant PT-axis Open source Matlab functions for decomposition of non-DC MTs with preserved dominant P- or T-axis.








    Matlab 2018b 32 bit