activity
20192021
collaborators

6 papers

math.AC2021

Algebraic Methods for Supersmooth Spline Spaces

Deepesh Toshniwal, Nelly Villamizar

Multivariate piecewise polynomial functions (or splines) on polyhedral complexes have been extensively studied over the past decades and find applications in diverse areas of appli…

math.NA2020

A general class of smooth rational splines: Application to construction of exact ellipses and ellipsoids

Hendrik Speleers, Deepesh Toshniwal

In this paper, we describe a general class of smooth rational splines that enables, in particular, exact descriptions of ellipses and ellipsoids - some of the most important…

physics.flu-dyn2020

The divergence-conforming immersed boundary method: Application to vesicle and capsule dynamics

Hugo Casquero, Carles Bona-Casas, Deepesh Toshniwal +3

We extend the recently introduced divergence-conforming immersed boundary (DCIB) method [1] to fluid-structure interaction (FSI) problems involving closed co-dimension one solids.…

math.NA2020

A Tchebycheffian extension of multi-degree B-splines: Algorithmic computation and properties

Rene R. Hiemstra, Thomas J. R. Hughes, Carla Manni +2

In this paper we present an efficient and robust approach to compute a normalized B-spline-like basis for spline spaces with pieces drawn from extended Tchebycheff spaces. The exte…

math.NA2020

Counting the dimension of splines of mixed smoothness: A general recipe, and its application to meshes of arbitrary topologies

Deepesh Toshniwal, Michael DiPasquale

In this paper we study the dimension of bivariate polynomial splines of mixed smoothness on polygonal meshes. Here, "mixed smoothness" refers to the choice of different orders of s…

math.NA2019

Dimension of polynomial splines of mixed smoothness on T-meshes

Deepesh Toshniwal, Nelly Villamizar

In this paper we study the dimension of splines of mixed smoothness on axis-aligned T-meshes. This is the setting when different orders of smoothness are required across the edges…