Results 31 to 40 of about 175,129,583 (297)
Estimates of the Approximation Error Using Rademacher Complexity: Learning Vector-Valued Functions [PDF]
, 2008 For certain families of multivariable vector-valued functions to be approximated, the accuracy of approximation schemes made up of linear combinations of computational units containing adjustable parameters is investigated.
Gnecco Giorgio +7 more
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Optimal with Respect to Accuracy Recovery of Some Classes Functions by Fourier Series
Кібернетика та комп'ютерні технологіїIntroduction. Function approximation (approximation or restoration) is widely used in data analysis, model building, and forecasting. The goal of function approximation is to find the function that best approximates the original function.
Olena Kolomys
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Entropy, 2021 Estimation of the probability density function from the statistical power moments presents a challenging nonlinear numerical problem posed by unbalanced nonlinearities, numerical instability and a lack of convergence, especially for larger numbers of ...
Nives Brajčić Kurbaša +3 more
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An Approximate Dynamic Programming Algorithm for Monotone Value Functions [PDF]
Operations Research, 2015 Many sequential decision problems can be formulated as Markov decision processes (MDPs) where the optimal value function (or cost-to-go function) can be shown to satisfy a monotone structure in some or all of its dimensions. When the state space becomes large, traditional techniques, such as the backward dynamic programming algorithm (i.e., backward ...
Daniel R. Jiang, Warren B. Powell
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A Model for Demand Planning in Supply Chains with Congestion Effects
Logistics, 2021 This paper is concerned with demand planning for internal supply chains consisting of workstations, production facilities, warehouses, and transportation links.
Uday Venkatadri +2 more
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An algorithm for approximation of functions
Journal of Mathematical Analysis and Applications, 1973 AbstractThis paper considers a problem of approximation of functions proposed by Bellman [1]. The results include a representation lemma for the solutions and an algorithm for computing such solutions. A sufficient condition for the convergence of the algorithm to the optimal solutions is shown to be related to the uniqueness of solutions of a pair of ...
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Proceedings of the International Conference on Applied Innovations in ITThe article considers the possibilities of solving interpolation and approximation problems using special types of functions, such as root polynomials and root fractional rational, and provides relevant examples.
Igor Melnyk +3 more
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The Finite Elements Research for Calculation of Thin-Walled Bar Systems [PDF]
Инженерно-строительный журнал, 2012 This article is written to continue the article of recent issue of the journal (Lalin V.V., Rybakov V.A. The finite elements for design of building walling made of thin-walled beams) considered the creating of 4 types of finite elements – depending on a ...
S.A. Morozov, V.A. Rybakov, V.V. Lalin
doaj
Adsorption Sites on Pd Nanoparticles Unraveled by Machine-Learning Potential with Adaptive Sampling
Molecules, 2022 Catalytic properties of noble-metal nanoparticles (NPs) are largely determined by their surface morphology. The latter is probed by surface-sensitive spectroscopic techniques in different spectra regions.
Andrei Tereshchenko +5 more
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Maximizing Submodular+Supermodular Functions Subject to a Fairness Constraint
Tsinghua Science and TechnologyWe investigate the problem of maximizing the sum of submodular and supermodular functions under a fairness constraint. This sum function is non-submodular in general. For an offline model, we introduce two approximation algorithms: A greedy algorithm and
Zhenning Zhang +3 more
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