See the quick reference guide for an overview of the different types you can use to represent a matrix. This represents a matrix of arbitrary size (hence the X in MatrixXd), in which every entry is a double (hence the d in MatrixXd). No need to wait for the next stable release to benefit from bug-fixes!īesides Code::Blocks itself, you can compile extra plugins from contributors to extend its functionality.The Eigen header files define many types, but for simple applications it may be enough to use only the MatrixXd type.

It gives you that much more flexibility though because you get access to any bug-fixing we do at the time we do it.

This option is the most flexible of all but requires a little bit more work to setup. Downloading the source code and building it yourself puts you in great control and also makes it easier for you to update to newer versions or, even better, create patches for bugs you may find and contributing them back to the community so everyone benefits. If you feel comfortable building applications from source, then this is the recommend way to download Code::Blocks. If you want to provide some, make sure to announce in the forums such that we can put it on the official C::B homepage. Other distributions usually follow provided by the community (big “Thank you!” for that!). Please note that we consider nightly builds to be stable, usually, unless stated otherwise. There are also more recent so-called nightly builds available in the forums. Download the setup file, run it on your computer and Code::Blocks will be installed, ready for you to work with it. This is the easy way for installing Code::Blocks. There are different ways to download and install Code::Blocks on your computer:

Codeblocks compiler matlab mex setup