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#Matlab r2013a windows 10 full
#Matlab r2013a windows 10 code
#Matlab r2013a windows 10 download

#Matlab r2013a windows 10 download

Download the latest Matlab release if you can earlier releases have more issues with JVM 1.7.

If after considering the alternatives you have a valid use-case for Matlab to call Java 7 code, follow these steps: The Java RMI approach appears to be a longer-term solution than hacking Matlab to use JVM 1.7.

#Matlab r2013a windows 10 code

If Java code relies on a different version than Matlab for such a library, this may give problems with the Java classloader that could result in Matlab being unable to add Jar-file(s) to the java classpath – this issue is solved by separating the Java 7 code to use an independent JVM. Due to using a different Java virtual machine, it also prevents duplicate dependencies between Matlab and Java code, when a Java project depends on Java libraries on which Matlab also depends. It requires some more work starting off, but has the benefit of not needing to switch Matlab to use Java 7. This enables using Java 6 Java code that calls the Java 7 code. Use Java Remote Method Invocation ( Java RMI).

#Matlab r2013a windows 10 full

This would be a more advisable approach than switching Matlab to use Java 7, and enable full backward compatibility on Matlab releases as old as R2007b (for 1.6) or R14 SP2 (for 1.5). If you have the source code for a project and no specific Java 7 features are being used in the code, you could simply recompile it using JDK 1.6 or even 1.5.

Compiling the Java project using JDK 1.6 instead of JDK 1.7.

It is worth considering a number of alternatives before trying to setup Matlab with the JVM 1.7:

A future Matlab version (possibly as close as the upcoming R2013b) might be updated use Java 7 natively – the hacks should only be used on versions that have JVM 1.6.

As with all other undocumented Matlab features, they may break in future Matlab versions.

The set of hacks is not complete some issues remain in the setup of Matlab to use Java 7.

Simulink or any Matlab toolboxes were not tested, nor any other operating systems (although I’ve found most solutions to work on Linux as well).

The hacks described below were found to work for Matlab R2012b and R2013a on Windows 64bit.

I urge readers to consider the following before trying the hacks I’ve found: Today’s article contains my experience in trying to let Matlab use JVM 1.7 code.

However, although Java 7 has been available since July 2011, the latest official Matlab version (R2013a at this point) still uses the JVM 1.6 (Java 6), which does not allow calling Java 7 code directly. When running back-tests on our models I have to either ensure my Matlab prototype exactly matches the Java behavior, or to call the Java production code directly.

The final production code is however coded by a separate development team in Java 7. I work in the team where I do a lot of research and prototyping with Matlab. Roderick discusses his experience with setting up Matlab to use the latest stable release of Java, namely JVM 1.7, a.k.a. Today I would like to introduce guest blogger Roderick, who wishes to remain anonymous.