{"push_id":893180396,"size":1,"distinct_size":1,"ref":"refs/heads/AP_Eigen","head":"2b90a208003df93545f3075febcd918940ec8fa6","before":"ce639e91742c2f1acd3494a7ef8eda78fc3409dd","commits":[{"sha":"2b90a208003df93545f3075febcd918940ec8fa6","author":{"email":"641ba3922ee003beac07381cd285b10957146f56@gmail.com","name":"dgrat"},"message":"AP_Eigen\nEigen is a slim algebrEigen is a slim algebra library, used by the PX4 flight stack too.\nThe current Implementation of AP_Math is not interface complete and lacks optimizations for ARM processors.\nEigen will increase performance without increasing the the binary size much (currently ~3.5k with AP_Math still included).\nI estimeted runtime advantages between 30 % and 200 % on some i386 cpus and in VMs.\nAdditionally, I included examples and a reference implementations on the example of the compass learning algorithms.\n\nConflicts:\n\tlibraries/Filter/LowPassFilter.cpp","distinct":true,"url":"https://api.github.com/repos/dgrat/ardupilot/commits/2b90a208003df93545f3075febcd918940ec8fa6"}]}