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  2. Scalar projection - Wikipedia

    en.wikipedia.org/wiki/Scalar_projection

    Vector projection of a on b (a 1), and vector rejection of a from b (a 2). In mathematics, the scalar projection of a vector on (or onto) a vector , also known as the scalar resolute of in the direction of , is given by:

  3. Vector projection - Wikipedia

    en.wikipedia.org/wiki/Vector_projection

    The scalar projection a on b is a scalar which has a negative sign if 90 degrees < θ ≤ 180 degrees. It coincides with the length ‖c‖ of the vector projection if the angle is smaller than 90°. More exactly: a 1 = ‖a 1 ‖ if 0° ≤ θ ≤ 90°, a 1 = −‖a 1 ‖ if 90° < θ ≤ 180°.

  4. Gauss's method - Wikipedia

    en.wikipedia.org/wiki/Gauss's_method

    Find the root of the scalar distance polynomial for the second observation of the orbiting body: + + + = where is the scalar distance for the second observation of the orbiting body (it and its vector, r 2, are in the Equatorial Coordinate System)

  5. Trace (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Trace_(linear_algebra)

    The projection map onto scalar operators can be expressed in terms of the trace, concretely as: ⁡ (). Formally, one can compose the trace (the counit map) with the unit map K → g l n {\displaystyle K\to {\mathfrak {gl}}_{n}} of "inclusion of scalars " to obtain a map g l n → g l n {\displaystyle {\mathfrak {gl}}_{n}\to {\mathfrak {gl}}_{n ...

  6. Projection (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Projection_(mathematics)

    In mathematics, a projection is an idempotent mapping of a set (or other mathematical structure) into a subset (or sub-structure). In this case, idempotent means that projecting twice is the same as projecting once. The restriction to a subspace of a projection is also called a projection, even if the idempotence property is lost. An everyday ...

  7. Projection (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Projection_(linear_algebra)

    A square matrix is called a projection matrix if it is equal to its square, i.e. if =. [2]: p. 38 A square matrix is called an orthogonal projection matrix if = = for a real matrix, and respectively = = for a complex matrix, where denotes the transpose of and denotes the adjoint or Hermitian transpose of .

  8. Dot product - Wikipedia

    en.wikipedia.org/wiki/Dot_product

    In mathematics, the dot product or scalar product [note 1] is an algebraic operation that takes two equal-length sequences of numbers (usually coordinate vectors), and returns a single number. In Euclidean geometry , the dot product of the Cartesian coordinates of two vectors is widely used.

  9. Projectivization - Wikipedia

    en.wikipedia.org/wiki/Projectivization

    Projectivization is a special case of the factorization by a group action: the projective space P(V) is the quotient of the open set V \ {0} of nonzero vectors by the action of the multiplicative group of the base field by scalar transformations. The dimension of P(V) in the sense of algebraic geometry is one less than the dimension of the ...