Basin: Efficient and Extensible Numerical Optimization in Rust
arXiv:2608.11279v1 Announce Type: new Abstract: Basin is a numerical optimization library for the Rust programming language. Numerical optimization is the task of finding the inputs that minimize a function, and it is a fundamental element across the sciences: fitting a model to data, calibrating a simulation, training a machine learning model, or choosing engineering parameters that minimize cost. Basin gives users a single, consistent way to both state and solve such problems, with a broad catalog of solvers and first-class support for constraints.
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[Submitted on 11 Aug 2026]
Title:Basin: Efficient and Extensible Numerical Optimization in Rust
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Abstract:Basin is a numerical optimization library for the Rust programming language. Numerical optimization is the task of finding the inputs that minimize a function, and it is a fundamental element across the sciences: fitting a model to data, calibrating a simulation, training a machine learning model, or choosing engineering parameters that minimize cost. Basin gives users a single, consistent way to both state and solve such problems, with a broad catalog of solvers and first-class support for constraints.
Subjects:
Machine Learning (cs.LG); Optimization and Control (math.OC)
MSC classes: 65Y15
ACM classes: D.2.13; G.1.6
Cite as: arXiv:2608.11279 [cs.LG]
(or arXiv:2608.11279v1 [cs.LG] for this version)
https://doi.org/10.48550/arXiv.2608.11279
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Johan Larsson [view email] [v1] Tue, 11 Aug 2026 10:47:37 UTC (12 KB)
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