argmin
A pure Rust numerical optimization library offering a wide range of algorithms with a consistent, type-agnostic interface.
What is argmin?
argmin is a numerical optimization library written entirely in Rust that provides a wide range of optimization algorithms with a consistent interface. It solves mathematical optimization problems efficiently, supporting various algorithms from gradient-based methods to global optimizers, while being type-agnostic to work with different math backends.
Rust developers and researchers working on scientific computing, machine learning, engineering, or any domain requiring mathematical optimization, as well as those developing new optimization algorithms.
Developers choose argmin for its pure Rust implementation, performance, safety, and flexible design that allows integration with custom types and math backends, along with features like checkpointing and observers for robust optimization workflows.
Overview
Numerical optimization in pure Rust
Use Cases
Best For
- Implementing gradient-based optimization in Rust applications
- Developing new optimization algorithms with built-in parameter handling
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