![]() The Eigen project started when some hackers from the large KDE meta-project realized the need for a single unified matrix library. No other library provides all of the features and benefits listed there. Why another matrix library? What is the need for Eigen?įirst of all, see the Overview. Non MPL2 features can be explicitly disabled by compiling with the EIGEN_MPL2_ONLY preprocessor token defined.Įigen and other libraries Should I use Eigen? ![]() This concerns: SimplicialCholesky, AMD ordering and constrained_cg. We refer to the MPL2 FAQ for initial questions.Įven though most of the Eigen code is under the MPL2, a few features are still under the LGPL license. Since the 3.1.1 release, Eigen is licensed under the MPL2. ![]() 9.1 Is there a method to compute the (Moore-Penrose) pseudo inverse ?.8.1 Why Eigen's API is using signed integers for sizes, indices, etc.?.7.7 How can I check that vectorization is actually being used?.7.5 How does vectorization depend on the compiler?.7.4 I disabled vectorization, but I'm still getting annoyed about alignment issues!.7.1 Which SIMD instruction sets are supported by Eigen?.6.2 Where in my program are temporary objects created?.2.3 How does Eigen compare to BLAS/LAPACK?.2.2 Why another matrix library? What is the need for Eigen?. ![]()
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