activity
20162026
most citedOn near-optimal time samplings for initial data best approximation

5 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

math.CO2026

New Results on Difference Distance Magic Labelings

Roza Aceska, Niny Arcila-Maya, Joshua Carlson +5

A graph labeling assigns values to the components of a graph (vertices, edges, etc.). In particular, distance magic labelings have been widely studied in undirected graphs. In such…

math.FA2025

Dual Frame Completion Problem

Roza Aceska, Yeon Hyang Kim, Sivaram K. Narayan

In this paper we present the construction of an exact dual frame under specific structural assumptions posed on the dual frame. When given a frame for a finite dimensional Hilb…

math.FA2022★ 1 cited

Cross Frame Potential

Roza Aceska, McKenna Kaczanowski

We introduce the notion of a cross-frame potential function, which takes one frame as input and returns its cross-frame potential value with respect to another frame. We analyze th…

math.AP2018★ 5 cited

On near-optimal time samplings for initial data best approximation

Roza Aceska, Alessandro Arsie, Ramesh Karki

Leveraging on the work of De Vore and Zuazua, we further explore their methodology and deal with two open questions presented in their paper. We show that for a class of linear evo…

math.FA2016

Scalability of frames generated by dynamical operators

Roza Aceska, Yeon Hyang Kim

Let be an operator on {a separable } Hilbert space $\cH$, and let $G \subset \cH$. It is known that - under appropriate conditions on and - the set of iterations $F_G(A…

cs.IT2016★ 1 cited

Local sparsity and recovery of fusion frames structured signals

Roza Aceska, Jean-Luc Bouchot, Shidong Li

The problem of recovering signals of high complexity from low quality sensing devices is analyzed via a combination of tools from signal processing and harmonic analysis. By using…