ferromotion-learn 0.45.0

Differentiable physics-informed learning for ferromotion — reverse-mode autodiff, PINNs, Lagrangian/Hamiltonian nets, Neural ODEs, SINDy, and more, pure-Rust and wasm-clean.
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
name = "ferromotion-learn"
version = "0.45.0"
authors = ["Institute for Physical AI @ BMI"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Differentiable physics-informed learning for ferromotion — reverse-mode autodiff, PINNs, Lagrangian/Hamiltonian nets, Neural ODEs, SINDy, and more, pure-Rust and wasm-clean."
homepage = "https://physicalai-bmi.org"
readme = false
keywords = [
    "robotics",
    "kinematics",
    "dynamics",
    "control",
    "physical-ai",
]
categories = [
    "science::robotics",
    "simulation",
    "mathematics",
    "wasm",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/dcharlot-physicalai-bmi/ferromotion"

[lib]
name = "ferromotion_learn"
path = "src/lib.rs"

[dependencies.ferromotion-core]
version = "0.45.0"

[dependencies.nalgebra]
version = "0.35"
features = ["std"]
default-features = false