ca129512ae
Fix #140.
59 lines
2.0 KiB
Markdown
59 lines
2.0 KiB
Markdown
[![Build Status](https://travis-ci.org/sebcrozet/nalgebra.svg?branch=master)](https://travis-ci.org/sebcrozet/nalgebra)
|
|
|
|
nalgebra
|
|
========
|
|
|
|
**nalgebra** is a low-dimensional linear algebra library written for Rust targeting:
|
|
|
|
* general-purpose linear algebra (still lacks a lot of features…).
|
|
* real time computer graphics.
|
|
* real time computer physics.
|
|
|
|
An on-line version of this documentation is available [here](http://nalgebra.org).
|
|
|
|
## Using **nalgebra**
|
|
All the functionality of **nalgebra** is grouped in one place: the root module `nalgebra::`.
|
|
This module re-exports everything and includes free functions for all traits methods doing
|
|
out-of-place modifications.
|
|
|
|
* You can import the whole prelude using:
|
|
|
|
```.ignore
|
|
use nalgebra::*;
|
|
```
|
|
|
|
The preferred way to use **nalgebra** is to import types and traits explicitly, and call
|
|
free-functions using the `na::` prefix:
|
|
|
|
```.rust
|
|
extern crate nalgebra as na;
|
|
use na::{Vec3, Rot3, Rotation};
|
|
|
|
fn main() {
|
|
let a = Vec3::new(1.0f64, 1.0, 1.0);
|
|
let mut b = Rot3::new(na::zero());
|
|
|
|
b.append_rotation_mut(&a);
|
|
|
|
assert!(na::approx_eq(&na::rotation(&b), &a));
|
|
}
|
|
```
|
|
|
|
|
|
## Features
|
|
**nalgebra** is meant to be a general-purpose, low-dimensional, linear algebra library, with
|
|
an optimized set of tools for computer graphics and physics. Those features include:
|
|
|
|
* Vectors with static sizes: `Vec0`, `Vec1`, `Vec2`, `Vec3`, `Vec4`, `Vec5`, `Vec6`.
|
|
* Points with static sizes: `Pnt0`, `Pnt1`, `Pnt2`, `Pnt3`, `Pnt4`, `Pnt5`, `Pnt6`.
|
|
* Square matrices with static sizes: `Mat1`, `Mat2`, `Mat3`, `Mat4`, `Mat5`, `Mat6 `.
|
|
* Rotation matrices: `Rot2`, `Rot3`, `Rot4`.
|
|
* Quaternions: `Quat`, `UnitQuat`.
|
|
* Isometries: `Iso2`, `Iso3`, `Iso4`.
|
|
* 3D projections for computer graphics: `Persp3`, `PerspMat3`, `Ortho3`, `OrthoMat3`.
|
|
* Dynamically sized vector: `DVec`.
|
|
* Dynamically sized (square or rectangular) matrix: `DMat`.
|
|
* A few methods for data analysis: `Cov`, `Mean`.
|
|
* Almost one trait per functionality: useful for generic programming.
|
|
* Operator overloading using multidispatch.
|