Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
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Updated
Mar 31, 2026 - Rust
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
A collection of papers and readings for non-convex optimization
CENSO is a framework for global optimization of nonconvex, spline-constrained MINLP problems
Second-Order Convergence of Alternating Minimizations
Selected machine learning projects from courses I have taken during my PhD
A collection of Newton-type optimization algorithms implemented in Julia.
CN^2 — Checkpointed Newton-Nesterov: stage-wise switching between Nesterov AGD and damped Newton for nonconvex optimization
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