Health.Zone Web Search

Search results

  1. Results from the Health.Zone Content Network
  2. Change of basis - Wikipedia

    en.wikipedia.org/wiki/Change_of_basis

    This is a straightforward consequence of the change-of-basis formula. Endomorphisms. Endomorphisms, are linear maps from a vector space V to itself. For a change of basis, the formula of the preceding section applies, with the same change-of-basis matrix on both sides of the formula.

  3. Lp space - Wikipedia

    en.wikipedia.org/wiki/Lp_space

    ℓ ∞ , {\displaystyle \ell ^ {\infty },} the space of bounded sequences. The space of sequences has a natural vector space structure by applying addition and scalar multiplication coordinate by coordinate. Explicitly, the vector sum and the scalar action for infinite sequences of real (or complex) numbers are given by: Define the -norm:

  4. Basis (linear algebra) - Wikipedia

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

    Basis (linear algebra) The same vector can be represented in two different bases (purple and red arrows). In mathematics, a set B of vectors in a vector space V is called a basis ( pl.: bases) if every element of V may be written in a unique way as a finite linear combination of elements of B.

  5. Projection (linear algebra) - Wikipedia

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

    In linear algebra and functional analysis, a projection is a linear transformation from a vector space to itself (an endomorphism) such that . That is, whenever is applied twice to any vector, it gives the same result as if it were applied once (i.e. is idempotent ). It leaves its image unchanged. [1]

  6. Bilinear interpolation - Wikipedia

    en.wikipedia.org/wiki/Bilinear_interpolation

    In mathematics, bilinear interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation. It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of (a mesh of) arbitrary convex quadrilaterals .

  7. Minkowski space - Wikipedia

    en.wikipedia.org/wiki/Minkowski_space

    If n ≥ 2, n -dimensional Minkowski space is a vector space of real dimension n on which there is a constant Minkowski metric of signature (n − 1, 1) or (1, n − 1). These generalizations are used in theories where spacetime is assumed to have more or less than 4 dimensions. String theory and M-theory are two examples where n > 4.

  8. Quadratic form - Wikipedia

    en.wikipedia.org/wiki/Quadratic_form

    The notion of a quadratic space is a coordinate-free version of the notion of quadratic form. Sometimes, Q is also called a quadratic form. Two n -dimensional quadratic spaces (V, Q) and (V′, Q′) are isometric if there exists an invertible linear transformation T : V → V′ ( isometry) such that.

  9. How do you calculate cost basis on investments? - AOL

    www.aol.com/finance/calculate-cost-basis...

    The total cost of this purchase is $1,000 (50 shares x $20). This becomes your cost basis. A few years later, you decide to sell all 50 shares when the price has risen to $30 per share. The total ...