Uses of Interface
mikera.transformz.ITransform

Packages that use ITransform

Package	Description
mikera.matrixx
mikera.matrixx.impl
mikera.transformz
mikera.transformz.impl
mikera.vectorz
mikera.vectorz.functions
mikera.vectorz.ops

Uses of ITransform in mikera.matrixx

Classes in mikera.matrixx that implement ITransform

Modifier and Type	Class and Description
class	AMatrix General abstract 2D matrix class.
class	Matrix Standard MxN matrix class backed by a flat double[] array
class	Matrix22 Specialised 2*2 Matrix for Vector2 maths, using primitive matrix elements
class	Matrix33 Specialised 3*3 Matrix for Vector3 maths, using primitive matrix elements

Uses of ITransform in mikera.matrixx.impl

Classes in mikera.matrixx.impl that implement ITransform

Modifier and Type	Class and Description
class	ADiagonalMatrix Abstract base class for diagonal matrices
class	AVectorMatrix<T extends AVector> Abstract base class for matrices that use a collection of Vectors as storage for the matrix rows.
class	ColumnMatrix Matrix class that wraps a vector as a 1-columns matrix
class	DiagonalMatrix Specialised diagonal matrix class Not fully mutable - only the diagonal values can be changed
class	IdentityMatrix Specialised identity matrix class.
class	PermutedMatrix Reference matrix class representing a permutation of a matrix
class	RowMatrix Matrix class that wraps a vector as a 1-row matrix
class	ScalarMatrix Scalar matrix class - i.e.
class	SubsetMatrix Matrix that transforms to a subset of elements of the source vector i.e.
class	TransposedMatrix Class representing a transposed view of another matrix The transposed matrix is a reference to the underlying matrix data
class	VectorMatrixM3 Specialised N*3 Matrix with Vector3 row components
class	VectorMatrixMN A matrix implemented as a composition of M length N vectors
class	ZeroMatrix Lightweight immutable zero matrix class

Uses of ITransform in mikera.transformz

Classes in mikera.transformz that implement ITransform

Modifier and Type	Class and Description
class	AAffineTransform Abstract base class for affine transformations
class	Affine34 Specialised 3*4 affine transformation class Intended for composing 3d affine transformations.
class	AffineMN General purpose MxN affine transformation, composed of a matrix and translation.
class	ALinearTransform Abstract base class representing a linear transfrom.
class	ATransform Abstract base class for all vector transformations.
class	ATranslation Abstract base class for translations of arbitrary dimensionality.
class	Translation Represents a translation by a fixed vector
class	Translation3 Specialised 3D translation class

Uses of ITransform in mikera.transformz.impl

Classes in mikera.transformz.impl that implement ITransform

Modifier and Type	Class and Description
class	AConstantTransform Abstract base class for transforms that produce a constant result.
class	AOpTransform
class	CompoundTransform Class to represent a compound transform when it is not known how to combine the transforms directly.
class	ConstantTransform Class representing a transform that returns a constant
class	ConstantTransform3 Class representing a transform that returns a 3D constant
class	ConstantTransform4 Class represnting a transform that returns a 4D constant
class	IdentityTranslation Immutable identity translation
class	SubsetTransform Transform wrapper that produces a subset of the output components of another transform

Uses of ITransform in mikera.vectorz

Classes in mikera.vectorz that implement ITransform

Modifier and Type	Class and Description
class	Op Abstract class for representing a unary operation

Uses of ITransform in mikera.vectorz.functions

Classes in mikera.vectorz.functions that implement ITransform

Modifier and Type	Class and Description
class	VectorFunction Abstract base class representing an arbitrary vector function.

Uses of ITransform in mikera.vectorz.ops

Classes in mikera.vectorz.ops that implement ITransform

Modifier and Type	Class and Description
class	ABoundedOp
class	AFunctionOp
class	ALinearOp
class	APolynomialOp
class	Clamp Operator for clamping values within a given range
class	Composed
class	Constant
class	Derivative
class	GaussianNoise Operator to add gaussian noise to a value
class	Identity Singleton identity operator
class	Inverse
class	Linear
class	Logistic
class	NormalRBF
class	Offset
class	Product
class	Quadratic
class	ScaledLogistic A logistic function, with input scaled by a fixed factor
class	SoftPlus
class	StochasticBinary
class	Sum
class	Tanh