16 citations · 16 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…
Construction of 4D Simplex Space-Time Meshes for Local Bisection Schemes
David Lenz
Adaptive mesh refinement is a key component of efficient unstructured space-time finite element methods. Underlying any adaptive mesh refinement scheme is, of course, a method for…
Fourier-Informed Knot Placement Schemes for B-Spline Approximation
David Lenz, Oana Marin, Vijay Mahadevan +2
Fitting B-splines to discrete data is especially challenging when the given data contain noise, jumps, or corners. Here, we describe how periodic data sets with these features can…