Fast and accurate normalization of vectors and quaternions
Walter F. Mascarenhas

TL;DR
This paper introduces a fast and precise method for normalizing vectors and quaternions, improving computational efficiency in geometric and design applications by adapting LAPACK techniques.
Contribution
It presents a novel adaptation of LAPACK-based methods for rapid and accurate normalization of vectors and quaternions, a fundamental operation in computational geometry.
Findings
Significantly faster normalization compared to traditional methods
Maintains high accuracy in vector and quaternion length calculations
Applicable to 2D and 3D geometric computations
Abstract
We present fast and accurate ways to normalize two and three dimensional vectors and quaternions and compute their length. Our approach is an adaptation of ideas used in the linear algebra library LAPACK, and we believe that the computational geometry and computer aided design communities are not aware of the possibility of speeding up these fundamental operations in the robust way proposed here.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
