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  2. Rotation matrix - Wikipedia

    en.wikipedia.org/wiki/Rotation_matrix

    To obtain exactly the same rotation (i.e. the same final coordinates of point P), the equivalent row vector must be post-multiplied by the transpose of R (i.e. wR T). Right- or left-handed coordinates The matrix and the vector can be represented with respect to a right-handed or left-handed coordinate system. Throughout the article, we assumed ...

  3. Rotation of axes in two dimensions - Wikipedia

    en.wikipedia.org/wiki/Rotation_of_axes_in_two...

    A point P has coordinates (x, y) with respect to the original system and coordinates (x′, y′) with respect to the new system. [1] In the new coordinate system, the point P will appear to have been rotated in the opposite direction, that is, clockwise through the angle . A rotation of axes in more than two dimensions is defined similarly.

  4. Bivector - Wikipedia

    en.wikipedia.org/wiki/Bivector

    Parallel plane segments with the same orientation and area corresponding to the same bivector a ∧ b. [1]In mathematics, a bivector or 2-vector is a quantity in exterior algebra or geometric algebra that extends the idea of scalars and vectors.

  5. Multidimensional discrete convolution - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_discrete...

    This vector length is equivalent to the dimensions of the original matrix output , making converting back to a matrix a direct transformation. Thus, the vector, Z ″ {\displaystyle Z''} , is converted back to matrix form, which produces the output of the two-dimensional discrete convolution.

  6. Screw theory - Wikipedia

    en.wikipedia.org/wiki/Screw_theory

    Let P be the point of application of the force F and let P be the vector locating this point in a fixed frame. The wrench W = ( F , P × F ) is a screw. The resultant force and moment obtained from all the forces F i , i = 1, ..., n , acting on a rigid body is simply the sum of the individual wrenches W i , that is

  7. Conformal geometric algebra - Wikipedia

    en.wikipedia.org/wiki/Conformal_geometric_algebra

    A point: the locus of x in R 3 is a point if A in R 4,1 is a vector on the null cone. (N.B. that because it's a homogeneous projective space, vectors of any length on a ray through the origin are equivalent, so g(x).A =0 is equivalent to g(x).g(a) = 0). A sphere: the locus of x is a sphere if A = S, a vector off the null cone.

  8. Geometric hashing - Wikipedia

    en.wikipedia.org/wiki/Geometric_hashing

    For 2D space and similarity transformation the basis is defined by a pair of points. The point of origin is placed in the middle of the segment connecting the two points (P2, P4 in our example), the x ′ {\displaystyle x'} axis is directed towards one of them, the y ′ {\displaystyle y'} is orthogonal and goes through the origin.

  9. Convex combination - Wikipedia

    en.wikipedia.org/wiki/Convex_combination

    A conical combination is a linear combination with nonnegative coefficients. When a point is to be used as the reference origin for defining displacement vectors, then is a convex combination of points ,, …, if and only if the zero displacement is a non-trivial conical combination of their respective displacement vectors relative to .