cartan-optim 0.4.0

Riemannian optimization algorithms for cartan: Riemannian gradient descent, conjugate gradient, trust region
Documentation 
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// ~/cartan/cartan-optim/src/lib.rs

#![cfg_attr(not(feature = "std"), no_std)]

//! # cartan-optim
//!
//! Riemannian optimization algorithms for the cartan library.
//!
//! This crate implements first- and second-order optimization algorithms that
//! operate on any manifold implementing the `Manifold` trait from `cartan-core`.
//!
//! ## Algorithms
//!
//! | Algorithm | Struct/function | Trait requirements |
//! |-----------|----------------|--------------------|
//! | Riemannian Gradient Descent | [`minimize_rgd`] | `Manifold + Retraction` |
//! | Riemannian Conjugate Gradient | [`minimize_rcg`] | `+ ParallelTransport` |
//! | Fréchet Mean (Karcher flow) | [`frechet_mean`] | `Manifold` |
//! | Riemannian Trust Region | [`minimize_rtr`] | `+ Connection` |
//!
//! ## Usage pattern
//!
//! ```rust,no_run
//! use nalgebra::SVector;
//! use cartan_core::manifold::Manifold;
//! use cartan_manifolds::Sphere;
//! use cartan_optim::{minimize_rgd, RGDConfig};
//!
//! let s2 = Sphere::<3>;
//! let config = RGDConfig::default();
//! let p0 = SVector::<f64, 3>::from([0.0, 1.0, 0.0]); // start on equator
//!
//! // Minimize f(p) = -p[0] (drives p toward [1, 0, 0]) on S²
//! let result = minimize_rgd(
//!     &s2,
//!     |p| -p[0],
//!     |p| s2.project_tangent(p, &SVector::from([1.0, 0.0, 0.0])),
//!     p0,
//!     &config,
//! );
//! ```
//!
//! ## References
//!
//! - Absil, Mahony, Sepulchre. "Optimization Algorithms on Matrix Manifolds."
//!   Princeton, 2008.
//! - Boumal. "An Introduction to Optimization on Smooth Manifolds."
//!   Cambridge, 2023.

pub mod frechet;
pub mod rcg;
pub mod result;
pub mod rgd;
pub mod rtr;

pub use frechet::{FrechetConfig, frechet_mean};
pub use rcg::{CgVariant, RCGConfig, minimize_rcg};
pub use result::OptResult;
pub use rgd::{RGDConfig, minimize_rgd};
pub use rtr::{RTRConfig, minimize_rtr};