c13b0388ef
Because most of their methods did not make sence for the (constant) identity matrix, they were set to `panic!` at runtime whenever the user tried to use them. Instead, it is much safer to completely forbid their use by removing the related trait implementation. See sebcrozet/ncollide#87. |
||
|---|---|---|
| benches | ||
| src | ||
| tests | ||
| .gitignore | ||
| .travis.yml | ||
| Cargo.toml | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
README.md
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.
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:
use nalgebra::*;
The preferred way to use nalgebra is to import types and traits explicitly, and call
free-functions using the na:: prefix:
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.