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Link listed types in lib.rs to their docs 

Helpful because lib.rs is the 'main page' for docs.rs
This allows for easy/direct access to the mentioned types
Currently you need to look up mentioned types via the search bar
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Patiga 2022-08-19 13:34:21 +02:00
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@ -46,28 +46,34 @@ fn main() {
**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:
* A single parametrizable type `Matrix` for vectors, (square or rectangular) matrices, and slices
with dimensions known either at compile-time (using type-level integers) or at runtime.
* A single parametrizable type [`Matrix`](Matrix) for vectors, (square or rectangular) matrices, and
slices with dimensions known either at compile-time (using type-level integers) or at runtime.
* Matrices and vectors with compile-time sizes are statically allocated while dynamic ones are
allocated on the heap.
* Convenient aliases for low-dimensional matrices and vectors: `Vector1` to `Vector6` and
`Matrix1x1` to `Matrix6x6`, including rectangular matrices like `Matrix2x5`.
* Points sizes known at compile time, and convenience aliases: `Point1` to `Point6`.
* Translation (seen as a transformation that composes by multiplication): `Translation2`,
`Translation3`.
* Rotation matrices: `Rotation2`, `Rotation3`.
* Quaternions: `Quaternion`, `UnitQuaternion` (for 3D rotation).
* Unit complex numbers can be used for 2D rotation: `UnitComplex`.
* Algebraic entities with a norm equal to one: `Unit<T>`, e.g., `Unit<Vector3<f32>>`.
* Isometries (translation ⨯ rotation): `Isometry2`, `Isometry3`
* Similarity transformations (translation ⨯ rotation ⨯ uniform scale): `Similarity2`, `Similarity3`.
* Affine transformations stored as a homogeneous matrix: `Affine2`, `Affine3`.
* Projective (i.e. invertible) transformations stored as a homogeneous matrix: `Projective2`,
`Projective3`.
* Convenient aliases for low-dimensional matrices and vectors: [`Vector1`](Vector1) to
[`Vector6`](Vector6) and [`Matrix1x1`](Matrix1) to [`Matrix6x6`](Matrix6), including rectangular
matrices like [`Matrix2x5`](Matrix2x5).
* Points sizes known at compile time, and convenience aliases: [`Point1`](Point1) to
[`Point6`](Point6).
* Translation (seen as a transformation that composes by multiplication):
[`Translation2`](Translation2), [`Translation3`](Translation3).
* Rotation matrices: [`Rotation2`](Rotation2), [`Rotation3`](Rotation3).
* Quaternions: [`Quaternion`](Quaternion), [`UnitQuaternion`](UnitQuaternion) (for 3D rotation).
* Unit complex numbers can be used for 2D rotation: [`UnitComplex`](UnitComplex).
* Algebraic entities with a norm equal to one: [`Unit<T>`](Unit), e.g., `Unit<Vector3<f32>>`.
* Isometries (translation ⨯ rotation): [`Isometry2`](Isometry2), [`Isometry3`](Isometry3)
* Similarity transformations (translation ⨯ rotation ⨯ uniform scale):
[`Similarity2`](Similarity2), [`Similarity3`](Similarity3).
* Affine transformations stored as a homogeneous matrix:
[`Affine2`](Affine2), [`Affine3`](Affine3).
* Projective (i.e. invertible) transformations stored as a homogeneous matrix:
[`Projective2`](Projective2), [`Projective3`](Projective3).
* General transformations that does not have to be invertible, stored as a homogeneous matrix:
`Transform2`, `Transform3`.
* 3D projections for computer graphics: `Perspective3`, `Orthographic3`.
* Matrix factorizations: `Cholesky`, `QR`, `LU`, `FullPivLU`, `SVD`, `Schur`, `Hessenberg`, `SymmetricEigen`.
[`Transform2`](Transform2), [`Transform3`](Transform3).
* 3D projections for computer graphics: [`Perspective3`](Perspective3),
[`Orthographic3`](Orthographic3).
* Matrix factorizations: [`Cholesky`](Cholesky), [`QR`](QR), [`LU`](LU), [`FullPivLU`](FullPivLU),
[`SVD`](SVD), [`Schur`](Schur), [`Hessenberg`](Hessenberg), [`SymmetricEigen`](SymmetricEigen).
* Insertion and removal of rows of columns of a matrix.
*/