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# nalgebra
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**nalgebra** is a linear algebra library written for Rust targeting:
* general-purpose linear algebra (still misses a lot of features…).
* real time computer graphics.
* real time computer physics.
## Using nalgebra
All the functionalities of **nalgebra** are grouped in one place: the `na` module.
This module re-exports everything and includes free functions for all traits methods.
Free functions are useful if you prefer doing something like: `na::dot(v1, v2)` instead of
`v1.dot(v2)` .
* You can import the whole prelude, including free functions, using:
```.rust
pub use nalgebra::na::*;
```
* If you dont want to import everything but only every trait:
```.rust
pub use nalgebra::traits::*;
```
* If you dont want to import everything but only every structure:
```.rust
pub use nalgebra::structs::*;
```
Of course, you can still import `nalgebra::na` alone, and get anything you want using the `na`
prefix.
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## Features
**nalgebra** is meant to be a general-purpose linear algebra library (but is very far from that…),
and keeps an optimized set of tools for computational graphics and physics. Those features include:
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* Vectors with static sizes: `Vec0` , `Vec1` , `Vec2` , `Vec3` , `Vec4` , `Vec5` , `Vec6` .
* Square matrices with static sizes: `Mat1` , `Mat2` , `Mat3` , `Mat4` , `Mat5` , `Mat6 ` .
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* Rotation matrices: `Rot2` , `Rot3` , `Rot4` .
* Isometries: `Iso2` , `Iso3` , `Iso4` .
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* Dynamically sized vector: `DVec` .
* Dynamically sized (square or rectangular) matrix: `DMat` .
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* A few methods for data analysis: `Cov` , `Mean` .
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* Almost one trait per functionality: useful for generic programming.
* Operator overloading using the double trait dispatch [trick ](http://smallcultfollowing.com/babysteps/blog/2012/10/04/refining-traits-slash-impls/ ). For example, the following works:
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```rust
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extern mod nalgebra;
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use std::num::{Zero, One};
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use nalgebra::na::{Vec3, Mat3};
fn main() {
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let v: Vec3< f64 > = Zero::zero();
let m: Mat3< f64 > = One::one();
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let _ = m * v; // matrix-vector multiplication.
let _ = v * m; // vector-matrix multiplication.
let _ = m * m; // matrix-matrix multiplication.
let _ = v * 2.0; // vector-scalar multiplication.
}
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```
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## Compilation
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You will need the last rust compiler from the master branch.
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If you encounter problems, make sure you have the last version before creating an issue.
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git clone git://github.com/sebcrozet/nalgebra.git
cd nalgebra
make
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You can build the documentation on the `doc` folder using:
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```.rust
make doc
```