Suchergebnisse - Algorithms for approximation of functions

Effective by precision algorithms for approximation of functions from the Lipschitz class by Fourier’s series von Kolomys, Olena, Luts, Liliya

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

“… 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 von Xu, Xin, Zuo, Lei, Huang, Zhenhua

“… 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 von Bhatnagar, Shalabh, Lakshmanan, K.

“… 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 von Bhatnagar, Shalabh

“… 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 von Asgarian, Mina, Jamshidi, Kamal, Bohlooli, Ali

“… ) 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 von Majak, J, Mikola, M, Pohlak, M, Eerme, M, Karunanidhi, R

“… 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 von Gheibi, Amir, Ghiasi, Amir Rikhtehgar, Ghaemi, Sehraneh, Badamchizadeh, Mohammad Ali

“… 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 von Guin, Soumyajit, Borkar, Vivek S., Bhatnagar, Shalabh

“… 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 von Chiluveru, Samba Raju, Tripathy, Manoj, Bibhudutta

“… 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 von Wortmann, Thomas

“… ) 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 von Saibaba, Arvind K., Minster, Rachel, Kilmer, Misha E.

“… 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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Least Squares Policy Evaluation Algorithms with Linear Function Approximation von NediĆ, A., Bertsekas, D. P.

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Local function approximation in evolutionary algorithms for the optimization of costly functions von Regis, R.G., Shoemaker, C.A.

“… 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 von Kuo, Frances Y., Mo, Weiwen, Nuyens, Dirk

“… 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 von Karageorghis, Andreas, Chen, C.S., Smyrlis, Yiorgos-Sokratis

“… 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 von Kusaka, Takashi, Tanaka, Takayuki

“… 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 von Ganjefar, Soheil, Tofighi, Morteza

“… •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 von Chen, Xinlei, Gu, Changqing, Ding, Ji, Li, Zhuo, Niu, Zhenyi

“… 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 von Qiming, Fu, Wen, Hu, Quan, Liu, Heng, Luo, Lingyao, Hu, Jianping, Chen

“… In this work, we proposed an efficient algorithm named the residual Sarsa algorithm with function approximation (FARS …”
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