AI & ML
Vertex interpolation by bivariate $C^1$ cubic splines: counterexamples, geometric stability, and indecomposable defects
arXiv cs.NA0 views
arXiv:2609.06364v2 Announce Type: replace Abstract: We study vertex evaluation on the full space of continuously differentiable piecewise cubic polynomials on a fixed planar triangulation. A complete dual description turns failure of interpolation into balanced edge weights with nonzero vertex loading. It leads to exact counterexamples with 17, 25, 31 and 41 vertices, each with one relation and the classical lower-bound dimension. The 31- and 41-vertex examples have interior graphs that are trees. We give a geometric construction criterion for a sector-completion family and a certified implicit construction outside that family. With all boundary vertices fixed, the nearby bad configurations form a four-dimensional smooth locus in the 17-vertex case, two intersecting components of dimensions six and five in the 25-vertex case, and isolated transverse points in the two tree examples. A common Schur-complement estimate explains their different interpolation costs. We first realize arbitrary defect by decomposable chains of the 41-vertex example. We then construct obstructions from individually interpolatory blocks, prove that the capacity of one complete edge is exactly five, and build a fixed-square family with arbitrarily large strongly indecomposable defect. The latter excludes two triangle-disjoint connected normal bad submeshes even when those submeshes may have holes.
Source:https://arxiv.org/abs/2609.06364PreviousA structure-preserving semi-implicit finite volume scheme on vertex-staggered unstructured meshesNextQuantitative Universal Approximation for Noisy Quantum Neural Networks
Related posts
![Path Planning and Autonomous Navigation — Ch.24: Advanced Autonomous Behaviors [KR]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fgmggiae4nyxpukfvgqba.png)
Path Planning and Autonomous Navigation — Ch.24: Advanced Autonomous Behaviors [KR]
0dev.to
화면이 사람을 붙잡는 힘 — AB 1709 소송이 개발자에게 던지는 질문
0dev.to
![Path Planning and Autonomous Navigation — Ch.12: Reversing and Parking [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F1k9m20qhwzb1csyeu5v1.png)
Path Planning and Autonomous Navigation — Ch.12: Reversing and Parking [EN]
0dev.to
![Path Planning and Autonomous Navigation — Ch.13: Docking and Charging [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Ff66zllmrqlif2vsyczxb.png)
Path Planning and Autonomous Navigation — Ch.13: Docking and Charging [EN]
0dev.to
![Path Planning and Autonomous Navigation — Ch.16: Rough Terrain Driving [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fmltd2hs9q5yutx3myjia.png)
Path Planning and Autonomous Navigation — Ch.16: Rough Terrain Driving [EN]
0dev.to

Implementing the Modern Data Strategy: Microsoft Fabric Blueprint
0dev.to