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eccentricity

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distributed algorithms for various network topologies, including tree-based election, flooding, broadcasting, saturation, and eccentricity calculations. This repository hosts Python implementations inspired by N. Santoro's 'Design and Analysis of Distributed Algorithms' (2006).

  • Updated May 3, 2024
  • Python

Code and analysis for Diaz & Henderson (2026), including VEDB visual-field preprocessing, SimCLR ResNet-18 pretraining, downstream evaluation, reference models, NSD voxelwise encoding models, and variance-partitioning analyses.

  • Updated Aug 19, 2026
  • Jupyter Notebook

Shape Budget studies how normalized source separation governs geometry under fixed reach budgets. Starting from ellipse eccentricity as a “budget governor,” the repo develops experiments on asymmetry, anisotropy, and multi-source families, showing when compact control objects act as operational latent variables recoverable from boundary data.

  • Updated Apr 6, 2026
  • Python

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