A mathematical/computational framework that upgrades the complex numbers for working with unified 2D coordinates, inversive geometry, Eisenstein integers, radial dual triangular lattice graph (RDTLG), hexagonal symmetries, signal processing, equivariant encodings, and geometric deep learning.
computer-science machine-learning signal-processing parallel-computing mathematics complex-numbers symmetry escher hexagonal-architecture eisenstein-numbers geometric-deep-learning lattice-graph equivariant-graph-neural-network non-classical-computing inversion-geometry triangular-architecture
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Updated
Feb 21, 2026 - Python