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Some transformations that are non-linear on an n-dimensional Euclidean space R n can be represented as linear transformations on the n+1-dimensional space R n+1. These include both affine transformations (such as translation) and projective transformations. For this reason, 4×4 transformation matrices are widely used in 3D computer graphics.
A specific application of linear maps is for geometric transformations, such as those performed in computer graphics, where the translation, rotation and scaling of 2D or 3D objects is performed by the use of a transformation matrix. Linear mappings also are used as a mechanism for describing change: for example in calculus correspond to ...
In multilinear algebra, one considers multivariable linear transformations, that is, mappings that are linear in each of several different variables. This line of inquiry naturally leads to the idea of the dual space , the vector space V* consisting of linear maps f : V → F where F is the field of scalars.
They can be extended to non linear functions, such as perspective correct texture mapping, quadratic curves, and traversing voxels. In its simplest implementation for linear cases such as lines, the DDA algorithm interpolates values in interval by computing for each x i the equations x i = x i−1 + 1, y i = y i−1 + m, where m is the slope of ...
Since a translation is an affine transformation but not a linear transformation, homogeneous coordinates are normally used to represent the translation operator by a matrix and thus to make it linear. Thus we write the 3-dimensional vector w = (w x, w y, w z) using 4 homogeneous coordinates as w = (w x, w y, w z, 1). [1]
Geometric modeling (including computer graphics) and computer-aided geometric design draw on ideas from differential geometry. In engineering, differential geometry can be applied to solve problems in digital signal processing. [17] In control theory, differential geometry can be used to analyze nonlinear controllers, particularly geometric ...
Let X be an affine space over a field k, and V be its associated vector space. An affine transformation is a bijection f from X onto itself that is an affine map; this means that a linear map g from V to V is well defined by the equation () = (); here, as usual, the subtraction of two points denotes the free vector from the second point to the first one, and "well-defined" means that ...
In mathematics, physics, and theoretical computer graphics, tapering is a kind of shape deformation. [1] [2] Just as an affine transformation, such as scaling or shearing, is a first-order model of shape deformation, tapering is a higher order deformation just as twisting and bending. Tapering can be thought of as non-constant scaling by a ...