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
Professional webpage for Nikolaus Elsaesser
Maple package for computing Nijenhuis and Haantjes torsions of (1,1)-tensor fields
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