Eigen

This is the API documentation for Eigen3. You can download it as a tgz archive for offline reading.

Eigen2 users: here is a Porting from Eigen2 to Eigen3 guide to help porting your application.

For a first contact with Eigen, the best place is to have a look at the tutorial. The short reference page gives you a quite complete description of the API in a very condensed format that is specially useful to recall the syntax of a particular feature, or to have a quick look at the API. For Matlab users, there is also a ASCII quick reference with Matlab translations. The *Modules* and *Classes* tabs at the top of this page give you access to the API documentation of individual classes and functions.

**Table** **of** **contents**

- Porting from Eigen2 to Eigen3
- Getting started
**Tutorial**- Tutorial page 1 - The Matrix class
- Tutorial page 2 - Matrix and vector arithmetic
- Tutorial page 3 - The Array class and coefficient-wise operations
- Tutorial page 4 - Block operations
- Tutorial page 5 - Advanced initialization
- Tutorial page 6 - Linear algebra and decompositions
- Tutorial page 7 - Reductions, visitors and broadcasting
- Tutorial page 8 - Geometry
- Tutorial page 9 - Sparse Matrix
- Tutorial page 10 - Interfacing with C/C++ arrays and external libraries: the Map class

- Quick reference guide
**Advanced topics**- Aliasing
- Lazy Evaluation and Aliasing
- Linear algebra and decompositions
- Customizing/Extending Eigen
- Preprocessor directives
- Storage orders
- What happens inside Eigen, on a simple example
- Writing efficient matrix product expressions
- The class hierarchy
- Writing Functions Taking Eigen Types as Parameters

**Topics related to alignment issues**

Want more? Checkout the unsupported modules documentation.