micromath 1.0.0

Embedded-friendly math library featuring fast floating point approximations (with small code size) for common arithmetic operations, trigonometry, 2D/3D vector types, statistical analysis, and quaternions. Optimizes for performance and small code size at the cost of precision.
Documentation
[badges.maintenance]
status = "passively-maintained"
[dependencies.generic-array]
default-features = false
optional = true
version = "0.13"

[features]
quaternion = []
statistics = []
vector = ["generic-array"]

[package]
authors = ["Tony Arcieri <bascule@gmail.com>"]
categories = ["embedded", "mathematics", "science", "no-std"]
description = "Embedded-friendly math library featuring fast floating point approximations\n(with small code size) for common arithmetic operations, trigonometry,\n2D/3D vector types, statistical analysis, and quaternions.\nOptimizes for performance and small code size at the cost of precision.\n"
edition = "2018"
keywords = ["math", "quaternions", "statistics", "trigonometry", "vector"]
license = "Apache-2.0 OR MIT"
name = "micromath"
readme = "README.md"
repository = "https://github.com/NeoBirth/micromath"
version = "1.0.0"
[package.metadata.docs.rs]
all-features = true