| Safe Haskell | None |
|---|---|
| Language | Haskell2010 |
Graphics.Rasterific.Linear
Description
This module is a reduction of the Linear package
from Edward Kmett to match just the need of Rasterific.
If the flag embed_linear is disabled, this module is
just a reexport from the real linear package.
- newtype V1 a = V1 a
- data V2 a = V2 !a !a
- data V3 a = V3 !a !a !a
- data V4 a = V4 !a !a !a !a
- class R1 t where
- class R2 t where
- class Functor f => Additive f where
- class Num a => Epsilon a where
- class Additive f => Metric f where
- (^*) :: (Functor f, Num a) => f a -> a -> f a
- (^/) :: (Functor f, Floating a) => f a -> a -> f a
- normalize :: (Floating a, Metric f, Epsilon a) => f a -> f a
Documentation
A 1-dimensional vector
Constructors
| V1 a |
A 2-dimensional vector
>>>pure 1 :: V2 IntV2 1 1
>>>V2 1 2 + V2 3 4V2 4 6
>>>V2 1 2 * V2 3 4V2 3 8
>>>sum (V2 1 2)3
Constructors
| V2 !a !a |
Instances
| Functor V2 Source # | |
| Applicative V2 Source # | |
| Foldable V2 Source # | |
| Traversable V2 Source # | |
| Metric V2 Source # | |
| Additive V2 Source # | |
| R2 V2 Source # | |
| R1 V2 Source # | |
| PointFoldable Point Source # | Just apply the function |
| Transformable Point Source # | Just apply the function |
| PlaneBoundable Point Source # | |
| Eq a => Eq (V2 a) Source # | |
| Num a => Num (V2 a) Source # | |
| Show a => Show (V2 a) Source # | |
| Epsilon a => Epsilon (V2 a) Source # | |
A 3-dimensional vector
Constructors
| V3 !a !a !a |
A 4-dimensional vector
Constructors
| V4 !a !a !a !a |
class Functor f => Additive f where Source #
A vector is an additive group with additional structure.
Methods
The zero vector
(^+^) :: Num a => f a -> f a -> f a infixl 6 Source #
Compute the sum of two vectors
>>>V2 1 2 ^+^ V2 3 4V2 4 6
(^-^) :: Num a => f a -> f a -> f a infixl 6 Source #
Compute the difference between two vectors
>>>V2 4 5 - V2 3 1V2 1 4
lerp :: Num a => a -> f a -> f a -> f a Source #
Linearly interpolate between two vectors.
class Num a => Epsilon a where Source #
Provides a fairly subjective test to see if a quantity is near zero.
>>>nearZero (1e-11 :: Double)False
>>>nearZero (1e-17 :: Double)True
>>>nearZero (1e-5 :: Float)False
>>>nearZero (1e-7 :: Float)True
Minimal complete definition
class Additive f => Metric f where Source #
Free and sparse inner product/metric spaces.
Minimal complete definition
Methods
dot :: Num a => f a -> f a -> a Source #
Compute the inner product of two vectors or (equivalently)
convert a vector f a into a covector f a -> a.
>>>V2 1 2 `dot` V2 3 411
quadrance :: Num a => f a -> a Source #
Compute the squared norm. The name quadrance arises from Norman J. Wildberger's rational trigonometry.
qd :: Num a => f a -> f a -> a Source #
Compute the quadrance of the difference
distance :: Floating a => f a -> f a -> a Source #
Compute the distance between two vectors in a metric space
norm :: Floating a => f a -> a Source #
Compute the norm of a vector in a metric space
signorm :: Floating a => f a -> f a Source #
Convert a non-zero vector to unit vector.
(^*) :: (Functor f, Num a) => f a -> a -> f a infixl 7 Source #
Compute the right scalar product
>>>V2 3 4 ^* 2V2 6 8