Related Pages

Here is a list of all related documentation pages:

Porting from Eigen2 to Eigen3 [external]
Eigen 2 support modes [external]
Experimental parts of Eigen [external]
Getting started [external]
Tutorial page 1 - The Matrix class [external]
Tutorial page 2 - Matrix and vector arithmetic [external]
Tutorial page 3 - The Array class and coefficient-wise operations [external]
Tutorial page 4 - Block operations [external]
Tutorial page 5 - Advanced initialization [external]
Tutorial page 6 - Linear algebra and decompositions [external]
Tutorial page 7 - Reductions, visitors and broadcasting [external]
Tutorial page 8 - Geometry [external]
Tutorial page 9 - Sparse Matrix [external]
Tutorial page 10 - Interfacing with C/C++ arrays and external libraries: the Map class [external]
Using STL Containers with Eigen [external]
Compiler making a wrong assumption on stack alignment [external]
Passing Eigen objects by value to functions [external]
Structures Having Eigen Members [external]
Explanation of the assertion on unaligned arrays [external]
Customizing/Extending Eigen [external]
Lazy Evaluation and Aliasing [external]
Writing efficient matrix product expressions [external]
What happens inside Eigen, on a simple example [external]
Fixed-size vectorizable Eigen objects [external]
Expression templates in Eigen [external]
Scalar types [external]
Resizing [external]
Vectorization [external]
Assertions [external]
Aliasing [external]
The class hierarchy [external]
Writing Functions Taking Eigen Types as Parameters [external]
Preprocessor directives [external]
Storage orders [external]
The template and typename keywords in C++ [external]
Quick reference guide [external]
Quick reference guide for sparse matrices [external]
Linear algebra and decompositions [external]
Eigen and multi-threading [external]
TutorialSparse_example_details [external]
Using Intel® Math Kernel Library from Eigen [external]