forked from M-Labs/nalgebra
Add an example dependency entry to the README.
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README.md
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README.md
@ -22,6 +22,17 @@ nalgebra
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* Real time computer physics.
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## Using **nalgebra**
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You will need the last stable build of the [rust compiler](http://www.rust-lang.org)
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and the official package manager: [cargo](https://github.com/rust-lang/cargo).
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Simply add the following to your `Cargo.toml` file:
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```
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[dependencies]
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nalgebra = "0.10.*"
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```
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All the functionality of **nalgebra** is grouped in one place: the root module `nalgebra::`. This
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module re-exports everything and includes free functions for all traits methods performing
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out-of-place operations.
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src/lib.rs
38
src/lib.rs
@ -3,13 +3,22 @@
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**nalgebra** is a low-dimensional linear algebra library written for Rust targeting:
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* low-dimensional general-purpose linear algebra (still lacks a lot of features…).
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* real time computer graphics.
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* real time computer physics.
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An on-line version of this documentation is available [here](http://nalgebra.org/doc/nalgebra).
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* General-purpose linear algebra (still lacks a lot of features…)
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* Real time computer graphics.
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* Real time computer physics.
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## Using **nalgebra**
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You will need the last stable build of the [rust compiler](http://www.rust-lang.org)
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and the official package manager: [cargo](https://github.com/rust-lang/cargo).
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Simply add the following to your `Cargo.toml` file:
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```
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[dependencies]
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nalgebra = "0.10.*"
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```
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All the functionality of **nalgebra** is grouped in one place: the root module `nalgebra::`. This
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module re-exports everything and includes free functions for all traits methods performing
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out-of-place operations.
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@ -20,8 +29,8 @@ Thus, you can import the whole prelude using:
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use nalgebra::*;
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```
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However, the recommended way to use **nalgebra** is to import types and traits explicitly, and call
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free-functions using the `na::` prefix:
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However, the recommended way to use **nalgebra** is to import types and traits
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explicitly, and call free-functions using the `na::` prefix:
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```.rust
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extern crate nalgebra as na;
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@ -37,6 +46,7 @@ fn main() {
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}
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```
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## Features
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**nalgebra** is meant to be a general-purpose, low-dimensional, linear algebra library, with
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an optimized set of tools for computer graphics and physics. Those features include:
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@ -46,26 +56,16 @@ an optimized set of tools for computer graphics and physics. Those features incl
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* Points with static sizes: `Point1`, `Point2`, `Point3`, `Point4`, `Point5`, `Point6`.
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* Square matrices with static sizes: `Matrix1`, `Matrix2`, `Matrix3`, `Matrix4`, `Matrix5`, `Matrix6 `.
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* Rotation matrices: `Rotation2`, `Rotation3`
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* Quaternions: `Quaternion`, `UnitQuaternion`.
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* Quaternions: `Quaternion`, `Unit<Quaternion>`.
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* Unit-sized values (unit vectors, unit quaternions, etc.): `Unit<T>`, e.g., `Unit<Vector3<f32>>`.
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* Isometries (translation ⨯ rotation): `Isometry2`, `Isometry3`
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* Similarity transformations (translation ⨯ rotation ⨯ uniform scale): `Similarity2`, `Similarity3`.
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* 3D projections for computer graphics: `Perspective3`, `PerspectiveMatrix3`, `Orthographic3`, `OrthographicMatrix3`.
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* 3D projections for computer graphics: `Persp3`, `PerspMatrix3`, `Ortho3`, `OrthoMatrix3`.
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* Dynamically sized heap-allocated vector: `DVector`.
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* Dynamically sized stack-allocated vectors with a maximum size: `DVector1` to `DVector6`.
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* Dynamically sized heap-allocated (square or rectangular) matrix: `DMatrix`.
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* Linear algebra and data analysis operators: `Covariance`, `Mean`, `qr`, `cholesky`.
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* Almost one trait per functionality: useful for generic programming.
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## **nalgebra** in use
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Here are some projects using **nalgebra**.
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Feel free to add your project to this list if you happen to use **nalgebra**!
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* [nphysics](https://github.com/sebcrozet/nphysics): a real-time physics engine.
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* [ncollide](https://github.com/sebcrozet/ncollide): a collision detection library.
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* [kiss3d](https://github.com/sebcrozet/kiss3d): a minimalistic graphics engine.
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* [nrays](https://github.com/sebcrozet/nrays): a ray tracer.
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*/
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#![deny(non_camel_case_types)]
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