Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm [PDF]
Scientific ReportsFractal interpolation has gained significant attention due to its ability to model complex, self-similar structures with high precision. However, optimizing the parameters of Iterated Function System (IFS)-based fractal interpolants remains a challenging
Sana Abdulla, K. Mahipal Reddy
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Optimization of the mean-square approximation procedures for iterated Stratonovich stochastic integrals of multiplicities 1 to 3 with respect to components of the multi-dimensional Wiener process based on Multiple Fourier–Legendre series [PDF]
MATEC Web of Conferences, 2022 The article is devoted to approximation of iterated Ito and Stratonovich stochastic integrals of multiplicities 1 to 3 by the method of multiple Fourier–Legendre series.
Kuznetsov Dmitriy, Kuznetsov Mikhail
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Analyzing Approximate Value Iteration Algorithms [PDF]
Mathematics of Operations Research, 2022 In this paper, we consider the stochastic iterative counterpart of the value iteration scheme wherein only noisy and possibly biased approximations of the Bellman operator are available. We call this counterpart the approximate value iteration (AVI) scheme.
Arunselvan Ramaswamy, Shalabh Bhatnagar
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Homogeneous Approximation of One- Dimensional Series of Iterated Integrals and Time Optimality
Journal of Optimization, Differential Equations and Their Applications, 2023 In the paper we consider nonlinear systems depending linearly on control with one-dimensional output. As is well known, under the analyticity requirement, the output can be expressed as a series of iterated integrals of controls with scalar coefficients.
Daria M. Andreieva +1 more
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Accelerated Iterated Filtering
Austrian Journal of Statistics, 2023 Simulation-based inferences have attracted much attention in recent years, as the direct computation of the likelihood function in many real-world problems is difficult or even impossible.
Dao Nguyen
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Homogeneous approximation for minimal realizations of series of iterated integrals
Visnik Harkivsʹkogo Nacionalʹnogo Universitetu im. V.N. Karazina. Cepiâ Matematika, Prikladna Matematika i Mehanika, 2022 In the paper, realizable series of iterated integrals with scalar coefficients are considered and an algebraic approach to the homogeneous approximation problem for nonlinear control systems with output is developed.
D. M. Andreieva, S. Yu. Ignatovich
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Iterative Thresholding for Sparse Approximations [PDF]
Journal of Fourier Analysis and Applications, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Blumensath, Thomas, Davies, Mike E.
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Rollout sampling approximate policy iteration [PDF]
Machine Learning, 2008 Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schemes without value functions which focus on policy representation using classifiers and address policy learning as a supervised learning problem.
Dimitrakakis Christos() +2 more
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Approximate and iterative methods [PDF]
Discrete Dynamics in Nature and Society, 2015 1Department of Mathematics, Pedagogical University, Podchorązych 2, 30-084 Krakow, Poland 2Faculty of Applied Mathematics, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland 3Faculty of Management, University of Primorska, Cankarjeva 5, 6104 Koper, Slovenia 4Department of Mathematics, Technical University of Cluj-Napoca ...
Janusz Brzdęk +5 more
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Multiple general sigmoids based Banach space valued neural network multivariate approximation
Cubo, 2023 Here we present multivariate quantitative approximations of Banach space valued continuous multivariate functions on a box or \(\mathbb{R}^{N},\) \(N\in \mathbb{N}\), by the multivariate normalized, quasi-interpolation, Kantorovich type and quadrature ...
George A. Anastassiou
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