Discovering Conservation Laws using Optimal Transport and Manifold Learning
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Updated
Sep 23, 2023 - Jupyter Notebook
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Drafts of textbooks. One on the math inspired by supersymmetric field theories. One on low dimensional (below 3+1) integrable physics.
Mathematica codes used to generate figures in the paper 'Witnessing a Poincaré recurrence with Mathematica', Results in Physics 7, 3373 (2017)
Density of states for the AL, Schur, and IND lattices
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