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  2. Lp space - Wikipedia

    en.wikipedia.org/wiki/Lp_space

    In penalized regression, "L1 penalty" and "L2 penalty" refer to penalizing either the norm of a solution's ... space is defined as (,), where means ...

  3. Square-integrable function - Wikipedia

    en.wikipedia.org/wiki/Square-integrable_function

    The vector space of (equivalence classes of) square integrable functions (with respect to Lebesgue measure) forms the space with = Among the L p {\displaystyle L^{p}} spaces, the class of square integrable functions is unique in being compatible with an inner product , which allows notions like angle and orthogonality to be defined.

  4. Hilbert space - Wikipedia

    en.wikipedia.org/wiki/Hilbert_space

    The spaces L 2 (R) and L 2 ([0,1]) of square-integrable functions with respect to the Lebesgue measure on the real line and unit interval, respectively, are natural domains on which to define the Fourier transform and Fourier series. In other situations, the measure may be something other than the ordinary Lebesgue measure on the real line.

  5. Locally integrable function - Wikipedia

    en.wikipedia.org/wiki/Locally_integrable_function

    the theorem is true also for functions f belonging only to the space of locally p-integrable functions, therefore the theorem implies also the following result. Corollary 1 . Every function f {\displaystyle f} in L p , l o c ( Ω ) {\displaystyle L_{p,loc}(\Omega )} , 1 < p ≤ ∞ {\displaystyle 1<p\leq \infty } , is locally integrable, i. e ...

  6. Haar wavelet - Wikipedia

    en.wikipedia.org/wiki/Haar_wavelet

    In Hilbert space terms, this Haar system on [0, 1] is a complete orthonormal system, i.e., an orthonormal basis, for the space L 2 ([0, 1]) of square integrable functions on the unit interval.

  7. Reproducing kernel Hilbert space - Wikipedia

    en.wikipedia.org/wiki/Reproducing_kernel_Hilbert...

    However, there are RKHSs in which the norm is an L 2-norm, such as the space of band-limited functions (see the example below). An RKHS is associated with a kernel that reproduces every function in the space in the sense that for every x {\displaystyle x} in the set on which the functions are defined, "evaluation at x {\displaystyle x} " can be ...

  8. Riesz–Fischer theorem - Wikipedia

    en.wikipedia.org/wiki/Riesz–Fischer_theorem

    The Riesz–Fischer theorem also applies in a more general setting. Let R be an inner product space consisting of functions (for example, measurable functions on the line, analytic functions in the unit disc; in old literature, sometimes called Euclidean Space), and let {} be an orthonormal system in R (e.g. Fourier basis, Hermite or Laguerre polynomials, etc. – see orthogonal polynomials ...

  9. Weak topology - Wikipedia

    en.wikipedia.org/wiki/Weak_topology

    Let X be a normed topological vector space over F, compatible with the absolute value in F. Then in , the topological dual space X of continuous F-valued linear functionals on X, all norm-closed balls are compact in the weak* topology. If X is a normed space, a version of the Heine-Borel theorem holds.