AI & ML
Geometric Pairwise Classification of Affine Constraints over Ellipsoidal Regions
arXiv eess.SY0 views
arXiv:2611.09860v1 Announce Type: cross Abstract: This paper presents a deterministic geometric procedure for analysing affine constraints over fixed ellipsoidal regions, motivated by chance-constrained set approximation. Analytical tests classify inequalities as always violated, never violated, or cutting. Pairwise tests determine whether two inequalities can be strictly violated at a common point, yielding a compatibility matrix. The tests follow from quadratic optimisation and the Karush--Kuhn--Tucker conditions, with explicit treatment of tangencies, parallel normals, and degenerate inequalities. The formulation applies in arbitrary finite dimensions and provides geometric information for subsequent bounds on simultaneous sampled violations and safe-region approximation.
Source:https://arxiv.org/abs/2611.09860PreviousAutonomous Whole-body Loco-manipulation Using a Snake RobotNextSafety Blind Spot in Remote Driving: Considerations for Risk Assessment of Connection Loss Fallback Strategies
Related posts

The Verge’s guide to Black Friday 2026
0The Verge

We’re giving away a bag filled with almost $900 worth of tech for Black Friday
0The Verge

Here are the shipping and return policies for all the big-name retailers
0The Verge

Here’s when the Black Friday sales start at Walmart, Target, and other retailers
0The Verge

How to shop like a pro during Black Friday and Cyber Monday
0The Verge

Hold up — I had a great time talking to the RIAA guy
0The Verge