Results 11 to 20 of about 5,139 (262)
Scale-Free Fractal Interpolation
Fractal and Fractional, 2022 An iterated function system that defines a fractal interpolation function, where ordinate scaling is replaced by a nonlinear contraction, is investigated here.
María A. Navascués +2 more
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Hyperbolic Tangent Like Relied Banach Space Valued Neural Network Multivariate Approximations
Annals of the West University of Timisoara: Mathematics and Computer Science, 2023 Here we examine the multivariate quantitative approximations of Banach space valued continuous multivariate functions on a box or ℝN , N ∈ ℕ, by the multivariate normalized, quasi-interpolation, Kantorovich type and quadrature type neural network ...
Anastassiou George A.
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An Iterative Process for Approximating Subactions [PDF]
, 2021 We describe a procedure based on the iteration of an initial function by an appropriated operator, acting on continuous functions, in order to get a fixed point. This fixed point will be a calibrated subaction for the doubling map on the circle and a fixed Lipschitz potential.
Ferreira, Hermes H. +2 more
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Mathematical Modelling and Analysis, 2009 We consider linear ill‐posed problems in Hilbert spaces with noisy right hand side and given noise level. For approximation of the solution the Tikhonov method or the iterated variant of this method may be used.
Toomas Raus, Uno Hämarik
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Graph-based approximate message passing iterations
Information and Inference: A Journal of the IMA, 2023 Abstract Approximate message passing (AMP) algorithms have become an important element of high-dimensional statistical inference, mostly due to their adaptability and concentration properties, the state evolution (SE) equations. This is demonstrated by the growing number of new iterations proposed for increasingly complex problems ...
Gerbelot, Cédric, Berthier, Raphaël
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Open Mathematics, 2019 This paper aims to present a new pathwise approximation method, which gives approximate solutions of order 32$\begin{array}{} \displaystyle \frac{3}{2} \end{array}$ for stochastic differential equations (SDEs) driven by multidimensional Brownian motions.
Alhojilan Yazid
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Approximated multi-agent fitted Q iteration
Systems & Control Letters, 2023 We formulate an efficient approximation for multi-agent batch reinforcement learning, the approximated multi-agent fitted Q iteration (AMAFQI). We present a detailed derivation of our approach. We propose an iterative policy search and show that it yields a greedy policy with respect to multiple approximations of the centralized, learned Q-function. In
Antoine Lesage-Landry +1 more
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New rule for choice of the regularization parameter in (iterated) tikhonov method
Mathematical Modelling and Analysis, 2009 We propose a new a posteriori rule for choosing the regularization parameter α in (iterated) Tikhonov method for solving linear ill‐posed problems in Hilbert spaces. We assume that data are noisy but noise level δ is given.
Toomas Raus, Uno Hämarik
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Approximation and Complexity II: Iterated Integration [PDF]
Foundations of Computational Mathematics, 2002 We introduce two classes of real analytic functions W U on an interval. Starting with rational functions to construct functions in W we allow the application of three types of operations: addition, integration and multiplication by a polynomial with rational coe cients.
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Iterative Approximate Cross-Validation
, 2023 Cross-validation (CV) is one of the most popular tools for assessing and selecting predictive models. However, standard CV suffers from high computational cost when the number of folds is large. Recently, under the empirical risk minimization (ERM) framework, a line of works proposed efficient methods to approximate CV based on the solution of the ERM ...
Luo, Yuetian +2 more
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