16 citations · 16 across the 3 of their papers we have counts for
3 papers
math.NA2022
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data
Vijay S. Mahadevan, David Lenz, Iulian Grindeanu +1
Compactly expressing large-scale datasets through Multivariate Functional Approximations (MFA) can be critically important for analysis and visualization to drive scientific discov…
math.NA2022
Adaptive Regularization of B-Spline Models for Scientific Data
David Lenz, Raine Yeh, Vijay Mahadevan +2
B-spline models are a powerful way to represent scientific data sets with a functional approximation. However, these models can suffer from spurious oscillations when the data to b…
cs.GR2020★ 16 cited
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
Hanqi Guo, David Lenz, Jiayi Xu +7
We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. The key of FTK is our high-dim…