Numeric.Matrix.Class

Documentation

class MatrixTranspose t (n :: k) (m :: k) where

Minimal complete definition

transpose

Methods

transpose :: Matrix t n m -> Matrix t m n

Transpose Mat

Instances

MatrixTranspose (t :: Type) (xn :: XNat) (xm :: XNat)

Defined in Numeric.Matrix

Methods

transpose :: Matrix t xn xm -> Matrix t xm xn

(KnownDim n, KnownDim m, PrimArray t (Matrix t n m), PrimArray t (Matrix t m n)) => MatrixTranspose (t :: *) (n :: Nat) (m :: Nat)

Defined in Numeric.Matrix

Methods

transpose :: Matrix t n m -> Matrix t m n

class SquareMatrix t (n :: Nat) where

Minimal complete definition

eye, diag, trace

Methods

eye :: Matrix t n n

Mat with 1 on diagonal and 0 elsewhere

diag :: Scalar t -> Matrix t n n

Put the same value on the Mat diagonal, 0 otherwise

trace :: Matrix t n n -> Scalar t

Sum of diagonal elements

Instances

(KnownDim n, PrimArray t (Matrix t n n), Num t) => SquareMatrix t n

Defined in Numeric.Matrix

Methods

eye :: Matrix t n n

diag :: Scalar t -> Matrix t n n

trace :: Matrix t n n -> Scalar t

class MatrixDeterminant t (n :: Nat) where

Minimal complete definition

det

Methods

det :: Matrix t n n -> Scalar t

Determinant of Mat

Instances

(KnownDim n, Ord t, Fractional t, PrimBytes t, PrimArray t (Matrix t n n)) => MatrixDeterminant t n

Defined in Numeric.Matrix

Methods

det :: Matrix t n n -> Scalar t

class MatrixInverse t (n :: Nat) where

Minimal complete definition

inverse

Methods

inverse :: Matrix t n n -> Matrix t n n

Matrix inverse

Instances

(KnownDim n, Ord t, Fractional t, PrimBytes t, PrimArray t (Matrix t n n), PrimArray t (Vector t n), PrimBytes (Vector t n), PrimBytes (Matrix t n n)) => MatrixInverse (t :: *) n

Defined in Numeric.Matrix

Methods

inverse :: Matrix t n n -> Matrix t n n

class MatrixLU t (n :: Nat) where

Minimal complete definition

lu

Methods

lu :: Matrix t n n -> LUFact t n

Compute LU factorization with Partial Pivoting

Instances

(KnownDim n, Ord t, Fractional t, PrimBytes t, PrimArray t (Matrix t n n)) => MatrixLU t n

Defined in Numeric.Matrix

Methods

lu :: Matrix t n n -> LUFact t n

data LUFact t n

Result of LU factorization with Partial Pivoting PA = LU .

Constructors

LUFact

Fields

• luLower :: Matrix t n n

  Lower triangular matrix L. All elements on the diagonal of L equal 1.

• luUpper :: Matrix t n n

  Upper triangular matrix U

• luPerm :: Matrix t n n

  Row permutation matrix P

• luPermSign :: Scalar t

  Sign of permutation luPermSign == det . luPerm

Instances

(Eq (Matrix t n n), Eq t) => Eq (LUFact t n)

Defined in Numeric.Matrix.Class

Methods

(==) :: LUFact t n -> LUFact t n -> Bool

(/=) :: LUFact t n -> LUFact t n -> Bool

(Show (Matrix t n n), Show t) => Show (LUFact t n)

Defined in Numeric.Matrix.Class

Methods

showsPrec :: Int -> LUFact t n -> ShowS

show :: LUFact t n -> String

showList :: [LUFact t n] -> ShowS

type Matrix (t :: l) (n :: k) (m :: k) = DataFrame t '[n, m]

Alias for DataFrames of rank 2

class HomTransform4 t where

Operations on 4x4 transformation matrices and vectors in homogeneous coordinates. All angles are specified in radians.

Minimal complete definition

translate4, translate3, rotateX, rotateY, rotateZ, rotate, rotateEuler, lookAt, perspective, orthogonal, toHomPoint, toHomVector, fromHom

Methods

translate4 :: Vector t 4 -> Matrix t 4 4

Create a translation matrix from a vector

translate3 :: Vector t 3 -> Matrix t 4 4

Create a translation matrix from a vector

rotateX :: t -> Matrix t 4 4

Rotation matrix for a rotation around the X axis, angle is given in radians.

rotateY :: t -> Matrix t 4 4

Rotation matrix for a rotation around the Y axis, angle is given in radians.

rotateZ :: t -> Matrix t 4 4

Rotation matrix for a rotation around the Z axis, angle is given in radians.

rotate :: Vector t 3 -> t -> Matrix t 4 4

Rotation matrix for a rotation around an arbitrary normalized vector

rotateEuler :: t -> t -> t -> Matrix t 4 4

Rotation matrix from the Euler angles yaw pitch and roll

lookAt

Arguments

:: Vector t 3

The up direction, not necessary unit length or perpendicular to the view vector

-> Vector t 3

The viewers position

-> Vector t 3

The point to look at

-> Matrix t 4 4

Create a transform matrix using up direction, camera position and a point to look at. Just the same as GluLookAt.

perspective

Arguments

:: t

Near plane clipping distance (always positive)

-> t

Far plane clipping distance (always positive)

-> t

Field of view of the y axis, in radians

-> t

Aspect ratio, i.e. screen's width/height

-> Matrix t 4 4

A perspective symmetric projection matrix. Right-handed coordinate system. (x - right, y - top) http://en.wikibooks.org/wiki/GLSL_Programming/Vertex_Transformations

orthogonal

Arguments

:: t

Near plane clipping distance

-> t

Far plane clipping distance

-> t

width

-> t

height

-> Matrix t 4 4

An orthogonal symmetric projection matrix. Right-handed coordinate system. (x - right, y - top) http://en.wikibooks.org/wiki/GLSL_Programming/Vertex_Transformations

toHomPoint :: Vector t 3 -> Vector t 4

Add one more dimension and set it to 1.

toHomVector :: Vector t 3 -> Vector t 4

Add one more dimension and set it to 0.

fromHom :: Vector t 4 -> Vector t 3

Transform a homogenous vector or point into a normal 3D vector. If the last coordinate is not zero, divide the rest by it.

type Mat22f = Matrix Float 2 2

type Mat23f = Matrix Float 2 3

type Mat24f = Matrix Float 2 4

type Mat32f = Matrix Float 3 2

type Mat33f = Matrix Float 3 3

type Mat34f = Matrix Float 3 4

type Mat42f = Matrix Float 4 2

type Mat43f = Matrix Float 4 3

type Mat44f = Matrix Float 4 4

type Mat22d = Matrix Double 2 2

type Mat23d = Matrix Double 2 3

type Mat24d = Matrix Double 2 4

type Mat32d = Matrix Double 3 2

type Mat33d = Matrix Double 3 3

type Mat34d = Matrix Double 3 4

type Mat42d = Matrix Double 4 2

type Mat43d = Matrix Double 4 3

type Mat44d = Matrix Double 4 4