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  2. Theory of functional connections - Wikipedia

    en.wikipedia.org/wiki/Theory_of_functional...

    The consistency problem, which pertains to constraints, interpolation, and functional interpolation, is comprehensively addressed in. [3] This includes the consistency challenges associated with boundary conditions that involve shear and mixed derivatives. The univariate version of TFC can be expressed in one of the following two forms:

  3. Interpolation - Wikipedia

    en.wikipedia.org/wiki/Interpolation

    The Theory of Functional Connections (TFC) is a mathematical framework specifically developed for functional interpolation.Given any interpolant that satisfies a set of constraints, TFC derives a functional that represents the entire family of interpolants satisfying those constraints, including those that are discontinuous or partially defined.

  4. Radial basis function interpolation - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function...

    Radial basis function (RBF) interpolation is an advanced method in approximation theory for constructing high-order accurate interpolants of unstructured data, possibly in high-dimensional spaces. The interpolant takes the form of a weighted sum of radial basis functions .

  5. Basis function - Wikipedia

    en.wikipedia.org/wiki/Basis_function

    In numerical analysis and approximation theory, basis functions are also called blending functions, because of their use in interpolation: In this application, a mixture of the basis functions provides an interpolating function (with the "blend" depending on the evaluation of the basis functions at the data points).

  6. Functional analysis - Wikipedia

    en.wikipedia.org/wiki/Functional_analysis

    Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (for example, inner product, norm, or topology) and the linear functions defined on these spaces and suitably respecting these structures.

  7. Radial basis function network - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function_network

    It can be used to generate a convenient prototype data stream. The logistic map can be used to explore function approximation, time series prediction, and control theory. The map originated from the field of population dynamics and became the prototype for chaotic time series. The map, in the fully chaotic regime, is given by

  8. Interpolation space - Wikipedia

    en.wikipedia.org/wiki/Interpolation_space

    The theory of interpolation of vector spaces began by an observation of Józef Marcinkiewicz, later generalized and now known as the Riesz-Thorin theorem.In simple terms, if a linear function is continuous on a certain space L p and also on a certain space L q, then it is also continuous on the space L r, for any intermediate r between p and q.

  9. Category:Interpolation - Wikipedia

    en.wikipedia.org/wiki/Category:Interpolation

    This page was last edited on 28 January 2020, at 04:45 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.