simple-vec3: Three-dimensional vectors of doubles with basic operations
Simple three-dimensional vectors of doubles with basic vector and matrix operations, supporting Data.Vector.Unboxed and Data.Vector.Storable.
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| Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.2, 0.3, 0.3.1, 0.4, 0.4.0.1, 0.4.0.2, 0.4.0.3, 0.4.0.4, 0.4.0.5, 0.4.0.6, 0.4.0.7, 0.4.0.8, 0.4.0.9, 0.4.0.10, 0.5, 0.6, 0.6.0.1 |
|---|---|
| Change log | CHANGELOG.md |
| Dependencies | base (<5), QuickCheck (<2.12), vector (<0.13) [details] |
| License | BSD-3-Clause |
| Author | Dmitry Dzhus |
| Maintainer | dima@dzhus.org |
| Category | Math, Numerical |
| Home page | https://github.com/dzhus/simple-vec3#readme |
| Bug tracker | https://github.com/dzhus/simple-vec3/issues |
| Source repo | head: git clone https://github.com/dzhus/simple-vec3 |
| Uploaded | by DmitryDzhus at 2018-03-17T23:34:46Z |
| Distributions | LTSHaskell:0.6.0.1, NixOS:0.6.0.1, Stackage:0.6.0.1 |
| Reverse Dependencies | 2 direct, 0 indirect [details] |
| Downloads | 9748 total (70 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs available [build log] Last success reported on 2018-03-18 [all 1 reports] |
Readme for simple-vec3-0.4.0.1
[back to package description]simple-vec3
Simple three-dimensional vectors of doubles with basic vector and
matrix operations, supporting Data.Vector.Unboxed and
Data.Vector.Storable.
>>> let v1 = (-1, 0.0, 0.2) :: TVec3
>>> let v2 = ( 1, 2.3, 5.0) :: TVec3
>>> let v3 = ( 1, 1, -0.2) :: TVec3
-- Add two vectors:
>>> v1 <+> v2
(0.0, 2.3, 5.2)
-- Dot product:
>>> v1 .* v2
0.0
-- Multiply by a scalar:
>>> v1 .^ 5
(-5.0, 0.0, 1.0)
-- Cross product:
>>> v1 >< v3
(-0.2, 0.0, -1.0)
-- Matrix-vector product:
>>> diag 2 `mxv` v2
(2.0, 4.6, 10.0)
Please consult the Hackage page for simple-vec3 for full documentation.
The package provides two different implementations for Vec3 type
class, which differ in storage scheme. Benchmarks are included for
both. You most likely want to use CVec3 which is based on contiguous
storage scheme and offers the best performance.
