Noel Murasko

collaborators

3 papers

math.NA2026

Hybrid Dealiasing and Implicit Packing for Real Convolutions

Noel Murasko, John C. Bowman

Hybrid dealiasing is an FFT-based method for computing linear convolutions of complex-valued data that reduces the cost of dealiasing by performing zero padding implicitly. We deve…

math.FA2026

Empirical Approximation of $L_{p}$ Norms

Feng Dai, Egor Kosov, Noel Murasko

We study empirical $L_{p}$ moments of a random vector $φ$ based on its i.i.d.\ copies $φ^{1}, \dots, φ^{m}$ , that is, $\frac{1}{m} \sum_{j = 1}^{m} ∣ ⟨ φ^{j}, y ⟩ ∣^{p}$ . Our m…

math.NA2023

Hybrid Dealiased Convolutions

Robert Joseph George, Noel Murasko, John C. Bowman

This paper proposes a practical and efficient solution for computing convolutions using hybrid dealiasing. It offers an alternative to explicit or implicit dealiasing and includes…

Hybrid Dealiasing and Implicit Packing for Real Convolutions

Empirical Approximation of Lp​ Norms

Hybrid Dealiased Convolutions

Empirical Approximation of $L_{p}$ Norms