MATLAB R2013b is developed by The MathWorks, Inc. and is used by 68 users of Software Informer. The most popular versions of this product among our users are: 1.0, 8.2, 8.3 and 8.5. The names of program executable files are activate_matlab.exe, deactivate_matlab.exe, IconCA564350.exe, matlab.exe and MATLABR2013b.exe. The product will soon be reviewed by our informers.
MATLink has been extensively tested with Mathematica versions 8.0.4, 9.0.1 and 10.0.0, MATLAB 2012b, 2013a and 2013b on OS X 10.8 and 10.9, and moderately tested on Windows 8 and Ubuntu 13.04. If you encounter any issues with a relatively modern operating system or a supported Mathematica/MATLAB version, please open a new issue at GitHub.
Warning: On OS X and Linux, MATLAB R2014a contains a bug that breaks MATLink.Please use an different version of MATLAB with MATLink on these systems.Older or newer versions (R2013b or R2014b) are not affected by the problem.The Windows version of MATLAB R2014a is not affected by this problem and works well with MATLink.
TIM has been integrated into the MCnest model to provide risk estimates associated with declines in survival and fecundity of birds exposed to pesticides. The models represent exposures on treated sites (e.g., agricultural fields and orchards) and adjacent areas receiving spray drift. A full description of TIM is available online. A full description of the basic MCnest model is also available online. The integrated version of TIM and MCnest replaces the T-REX portions of exposure used in the basic MCnest model.
The integrated TIM/MCnest model was designed in Matlab 2013b and requires the Matlab Compiler Runtime (MCR) to be installed on your computer. MCnest will not run without the MCR. Due to its size, we are not hosting the MCR on our website. Download it free of charge from the Mathworks website. The required version is the Windows 64-bit MCR for Matlab release 2013b.
The SSD Toolbox was designed in Matlab 2013b and requires the Matlab Compiler Runtime (MCR) to be installed on your computer. The SSD Toolbox will not run without the MCR. Due to its size, we are not hosting the MCR on our website. It can be downloaded free of charge from the Mathworks website. The required version is the Windows 64-bit MCR for Matlab release 2013b.
No. FreeMat supports roughly 95% (a made up statistic) of the features in MATLAB. The following table summarizes how FreeMat stacks up against MATLAB and IDL. Because we like to lead with the positive, here are the features in that are supported: N-dimensional array manipulation (by default, N is limited to 6) Support for 8,16, and 32 bit integer types (signed and unsigned), 32 and 64 bit floating point types, and 64 and 128 bit complex types. Built in arithmetic for manipulation of all supported data types. Support for solving linear systems of equations via the divide operators. Eigenvalue and singular value decompositions Full control structure support (including, for, while, break, continue, etc.) 2D plotting and image display Heterogeneous array types (called \"cell arrays\" in MATLAB-speak) fully supported Full support for dynamic structure arrays Split-radix based FFT support Pass-by-reference support (an IDL feature) Keyword support (an IDL feature) Codeless interface to external C/C++/FORTRAN code Native Windows support Native sparse matrix support Native support for Mac OS X (no X11 server required). Function pointers (eval and feval are fully supported) Classes, operator overloading 3D Plotting and visualization via OpenGL Handle-based graphics 3D volume rendering capability (via VTK) Here are the list of major MATLAB features not currently supported: GUI/WidgetsFinally the list of features that are in progress (meaning they are in the development version or are planned for the near future): Widgets/GUI building FreeMat-to-MEX interface for porting MATLAB MEX files.If you feel very strongly that one or more MATLAB features are missing that would be useful to have in FreeMat, you can either add it yourself or try and convince someone else (e.g., me) to add it for you. As for IDL, FreeMat is not compatible at all with IDL (the syntax is MATLAB-based), but a few critical concepts from IDL are implemented, including pass by reference and keywords.
Go to the EEGLAB download page to download the latest stable version of EEGLAB. The rest of this page describes how to download the development version of EEGLAB, and is recommended for advanced EEGLAB users only. In the video, we outline the different options for running EEGLAB.
EEGLAB download in ZIP format is available on the EEGLAB download page. This includes the latest release as well as old versions. The EEGLAB revision history page describes changes between EEGLAB versions.
Please do NOT download the zip file from the EEGLAB GitHub repository as it is missing important EEGLAB plugins not included in the EEGLAB code base. If you want to use the development version of EEGLAB, clone it and include submodules as explained below.
The glmnet version for MATLAB was tested only on MATLAB 2013b (64-bit), but I wanted to know if someone was able to use it on other versions of MATLAB and how to do that. I think the problem is the mex file that maybe should be recompiled since the error on the MATLAB crash says
Download Kubios HRV Scientific installer from the links below and install it into your computer (you will need a license key to activate the software on your computer). NOTE: Matlab Runtime (MCR) version that is required to run Kubios HRV Scientific, is included in Windows and macOS installers (macOS installer downloads the MCR when necessary).
Download Kubios HRV Standard installer from the links below and install it into your computer (you will need the license key to activate the software on your computer). NOTE: Matlab Runtime (MCR) version R2021a, which is required to run Kubios HRV Standard, is included in Windows and macOS installers (macOS installer downloads the MCR when necessary).
Seismic tomography has been extensively used in various forms to determinethe three-dimensional velocity structure of the Earth's mantle. The dataused in these studies are surface wave (waveforms and dispersion measurements) and free oscillation (frequency shift) data as wellas body wave travel times (arrival times from catalogues such as the ISCcatalog and specially hand-picked long-period arrivals). For the majority ofthese studies, the crust has a significant impact on the observed seismic data but, atthe same time, is too thin to be resolved by them. Most authors handle this byapplying an assumed \"crustal correction\" to the data before an inversionfor mantle structure. Since the inversion techniques can erroneously mapcrustal structure down to great depth (at least 250km), accurate crustalcorrections to the data sets are extremely important.