3 papers
nucl-th2026
Deep learning approaches to extract nuclear deformation parameters from initial-state information in heavy-ion collisions
Jun-Qi Tao, Yang Liu, Yu Sha +5
The deformation of heavy nuclei leaves characteristic imprints on the initial conditions of relativistic heavy-ion collisions. However, event-by-event fluctuations make the quantit…
math.NA2025
Efficient Tensor Completion Algorithms for Highly Oscillatory Operators
Navjot Singh, Edgar Solomonik, Xiaoye Sherry Li +1
This paper presents low-complexity tensor completion algorithms and their efficient implementation to reconstruct highly oscillatory operators discretized as matrices.…
math.NA2024
A Linear-complexity Tensor Butterfly Algorithm for Compressing High-dimensional Oscillatory Integral Operators
P. Michael Kielstra, Tianyi Shi, Hengrui Luo +2
This paper presents a multilevel tensor compression algorithm called tensor butterfly algorithm for efficiently representing large-scale and high-dimensional oscillatory integral o…