fast, lightweight and accurate custom optimizer for deep learning
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Updated
Sep 26, 2026 - Python
fast, lightweight and accurate custom optimizer for deep learning
Learn Newton and Lagrange polynomial interpolation in Python with divided differences, Chebyshev nodes, plots, and error comparison.
CLI exploring the Runge phenomenon through equispaced and Chebyshev-root interpolation, with SVG charts, error metrics, and high-precision verification
Cosine calculator via Newton interpolation on Chebyshev nodes extended to all reals; cubic spline fit to Bellingham-Portland travel data.
A local-first engine utility and Antigravity Skill that compiles computationally heavy math functions into ultra-fast, unrolled GLSL/HLSL rational approximations using Chebyshev node interpolation.
Runge phenomenon, Chebyshev nodes and Newton trilateration. Numerical Methods and Optimization, UdeSA 2024.
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