Published July 5, 2023 | Version 1.0.0

Dataset: Harmonic Integration via Randomized Kaczmarz Algorithms

  • 1. MIT
  • 2. University of Minnesota: Minneapolis
  • 3. EPFL

Description

The dataset used for the analyses in our paper: "On the Conjugate Symmetry and Sparsity of the Harmonic Decomposition of Parametric Surfaces with the Randomised Kaczmarz Method".

The codes are available on our EESD GitHub webpage.

The attached files are all MAT files (Matlab 7.0). These files will be read and processed directly with our Python3.8 codes. The codes that generated these input data are referred to in our paper (via Spherical harmonics, spherical cap harmonics, and disk harmonics approaches).

Notes

Input data to test the newly proposed RK algorithms.

Files

Files (12.0 GB)

Name Size
md5:8992bc8238d545cd637ae0e4e4da221d
787.4 MB Download
md5:22502abb930d1de8b6a56e25f986e89f
4.8 GB Download
md5:8342ab7e53925e4dd0e3502d1907a1f2
1.7 GB Download
md5:7d8ef8be9b8cdae8083668e7eefc961e
4.7 GB Download