Výsledky vyhledávání - Algorithms for approximation of functions

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    Effective by precision algorithms for approximation of functions from the Gelder class by Fourier’s series Autor Kolomys, Olena

    ISSN: 1816-1545, 2617-5258
    Vydáno: 05.08.2021
    “…Effective by precision algorithms for approximation of functions from the Gelder class…”
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    Reinforcement learning algorithms with function approximation: Recent advances and applications Autor Xu, Xin, Zuo, Lei, Huang, Zhenhua

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 10.03.2014
    Vydáno v Information sciences (10.03.2014)
    “… In this paper, a comprehensive survey is given on recent developments in RL algorithms with function approximation…”
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    An Online Actor–Critic Algorithm with Function Approximation for Constrained Markov Decision Processes Autor Bhatnagar, Shalabh, Lakshmanan, K.

    ISSN: 0022-3239, 1573-2878
    Vydáno: Boston Springer US 01.06.2012
    “…We develop an online actor–critic reinforcement learning algorithm with function approximation for a problem of control under inequality constraints…”
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    An actor–critic algorithm with function approximation for discounted cost constrained Markov decision processes Autor Bhatnagar, Shalabh

    ISSN: 0167-6911, 1872-7956
    Vydáno: Amsterdam Elsevier B.V 01.12.2010
    Vydáno v Systems & control letters (01.12.2010)
    “…We develop in this article the first actor–critic reinforcement learning algorithm with function approximation for a problem of control under multiple inequality constraints…”
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    An Efficient Approximation Algorithm for Service Function Chaining Placement in Edge-Cloud Computing Industrial Internet of Things Autor Asgarian, Mina, Jamshidi, Kamal, Bohlooli, Ali

    ISSN: 2327-4662, 2327-4662
    Vydáno: Piscataway IEEE 01.04.2024
    Vydáno v IEEE internet of things journal (01.04.2024)
    “…) devices to get the service function chain (SFC). The service function chaining placement refers to a series of virtual network functions (VNFs…”
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    Modelling FGM materials. An accurate function approximation algorithms Autor Majak, J, Mikola, M, Pohlak, M, Eerme, M, Karunanidhi, R

    ISSN: 1757-8981, 1757-899X
    Vydáno: Bristol IOP Publishing 01.05.2021
    “…The study is focused on development of an accurate and cost effective function approximation techniques for modelling functionally graded materials…”
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    Interconnection and damping assignment control based on modified actor–critic algorithm with wavelet function approximation Autor Gheibi, Amir, Ghiasi, Amir Rikhtehgar, Ghaemi, Sehraneh, Badamchizadeh, Mohammad Ali

    ISSN: 0019-0578, 1879-2022, 1879-2022
    Vydáno: United States Elsevier Ltd 01.06.2020
    Vydáno v ISA transactions (01.06.2020)
    “… The main purpose of this paper is to modify the AC algorithm with an online wavelet function approximation to improve its performance…”
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    An Actor-Critic Algorithm with Function Approximation for Risk Sensitive Cost Markov Decision Processes Autor Guin, Soumyajit, Borkar, Vivek S., Bhatnagar, Shalabh

    ISSN: 0018-9286, 1558-2523
    Vydáno: IEEE 2025
    “… We develop an actor-critic algorithm with function approximation in this setting and provide its asymptotic convergence analysis…”
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    Non‐linear activation function approximation using a REMEZ algorithm Autor Chiluveru, Samba Raju, Tripathy, Manoj, Bibhudutta

    ISSN: 1751-858X, 1751-8598
    Vydáno: John Wiley & Sons, Inc 01.10.2021
    Vydáno v IET circuits, devices & systems (01.10.2021)
    “… It utilizes a precision‐controlled recursive algorithm to predict a sub‐range; after that, the REMEZ algorithm is used to find the corresponding approximation function…”
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    Genetic evolution vs. function approximation: Benchmarking algorithms for architectural design optimization Autor Wortmann, Thomas

    ISSN: 2288-5048, 2288-4300, 2288-5048
    Vydáno: Oxford University Press 01.07.2019
    “…) practice and research, the most commonly applied black-box algorithms are genetic algorithms or other metaheuristics, to the neglect of more current, global direct search or model-based, methods…”
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    Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions Autor Saibaba, Arvind K., Minster, Rachel, Kilmer, Misha E.

    ISSN: 1019-7168, 1572-9044
    Vydáno: New York Springer US 01.10.2022
    Vydáno v Advances in computational mathematics (01.10.2022)
    “…In this paper, we introduce a method for multivariate function approximation using function evaluations, Chebyshev polynomials, and tensor-based compression techniques via the Tucker format…”
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    Local function approximation in evolutionary algorithms for the optimization of costly functions Autor Regis, R.G., Shoemaker, C.A.

    ISSN: 1089-778X, 1941-0026
    Vydáno: New York, NY IEEE 01.10.2004
    “… in an evolutionary algorithm. Our approach is to estimate the objective function value of an offspring by fitting a function approximation model over the k nearest previously evaluated points, where k=(d+1)(d+2…”
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    Constructing Embedded Lattice-Based Algorithms for Multivariate Function Approximation with a Composite Number of Points Autor Kuo, Frances Y., Mo, Weiwen, Nuyens, Dirk

    ISSN: 0176-4276, 1432-0940
    Vydáno: New York Springer US 01.02.2025
    Vydáno v Constructive approximation (01.02.2025)
    “…We approximate d -variate periodic functions in weighted Korobov spaces with general weight parameters using n function values at lattice points…”
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    A matrix decomposition RBF algorithm: Approximation of functions and their derivatives Autor Karageorghis, Andreas, Chen, C.S., Smyrlis, Yiorgos-Sokratis

    ISSN: 0168-9274, 1873-5460
    Vydáno: Amsterdam Elsevier B.V 01.03.2007
    Vydáno v Applied numerical mathematics (01.03.2007)
    “…We propose an efficient algorithm for the approximation of functions and their derivatives using radial basis functions (RBFs…”
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    Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers Autor Kusaka, Takashi, Tanaka, Takayuki

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 22.07.2022
    Vydáno v Electronics (22.07.2022)
    “… The residual correction method (RCM) developed here can produce simple and accurate approximations of certain nonlinear functions with minimal multiply–add operations…”
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    Optimization of quantum-inspired neural network using memetic algorithm for function approximation and chaotic time series prediction Autor Ganjefar, Soheil, Tofighi, Morteza

    ISSN: 0925-2312, 1872-8286
    Vydáno: Elsevier B.V 24.05.2018
    Vydáno v Neurocomputing (Amsterdam) (24.05.2018)
    “…•We develop a new and efficient type of quantum-inspired neural networks model.•The accuracy of the approach is investigated for function approximation and time series prediction problems…”
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    Multilevel Fast Adaptive Cross-Approximation Algorithm With Characteristic Basis Functions Autor Chen, Xinlei, Gu, Changqing, Ding, Ji, Li, Zhuo, Niu, Zhenyi

    ISSN: 0018-926X, 1558-2221
    Vydáno: IEEE 01.09.2015
    “…This paper presents a multilevel fast adaptive crossapproximation (MLFACA) algorithm for accelerated iterative solution of the method of moments (MoM…”
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    Residual Sarsa algorithm with function approximation Autor Qiming, Fu, Wen, Hu, Quan, Liu, Heng, Luo, Lingyao, Hu, Jianping, Chen

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.01.2019
    Vydáno v Cluster computing (01.01.2019)
    “…In this work, we proposed an efficient algorithm named the residual Sarsa algorithm with function approximation (FARS…”
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