Log-Quadratic Bounds for the Gaussian Q-function
Andrew Mastin, Patrick Jaillet

TL;DR
This paper introduces quadratic bounds for the logarithm of the Gaussian Q-function and provides an analytical method for accurate log-quadratic approximations with minimal error.
Contribution
It proposes a novel quadratic bounding technique and an analytical approach for precise log-quadratic approximations of the Gaussian Q-function.
Findings
Derived bounds with explicit quadratic form for the log of the Q-function
Developed an analytical method for log-quadratic approximation
Achieved approximation accuracy with less than 10^{-3} error
Abstract
We present bounds of quadratic form for the logarithm of the Gaussian Q-function. We also show an analytical method for deriving log-quadratic approximations of the Q-function and give an approximation with absolute error less than .
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.
Taxonomy
TopicsMathematical functions and polynomials · Advanced Algebra and Geometry · Random Matrices and Applications
