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Variable Step Size Adams Methods for BSDEs
Journal of Mathematics, 2021 For backward stochastic differential equations (BSDEs), we construct variable step size Adams methods by means of Itô–Taylor expansion, and these schemes are nonlinear multistep schemes.
Qiang Han
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A variable step-size strategy for distributed estimation over adaptive networks [PDF]
EURASIP Journal on Advances in Signal Processing, 2013 A lot of work has been done recently to develop algorithms that utilize the distributed structure of anad hocwireless sensor network to estimate a certain parameter of interest. One such algorithm is called diffusion least-mean squares (DLMS).
Azzedine Zerguine +2 more
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A Variable Step-Size FxLMS Algorithm for Nonlinear Feedforward Active Noise Control [PDF]
SensorsActive noise control (ANC) represents an efficient technology for enhancing the noise suppression performance and ensuring the stable operation of multi-sensor systems through generative model-enhanced data representation and dynamic information fusion ...
Thi Trung Tin Nguyen +5 more
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Variable step size methods for solving simultaneous algebraic reconstruction technique (SART)-type cbct reconstructions. [PDF]
Oncotarget, 2017 Lee HC +6 more
europepmc +3 more sources
A Variable Step‐Size Leaky LMS Algorithm [PDF]
Wireless Communications and Mobile Computing, 2021 The leaky LMS algorithm has been extensively studied because of its control of parameter drift. This unexpected parameter drift is linked to the inadequacy of excitation in the input sequence. And generally leaky LMS algorithms use fixed step size to force the performance of compromise between the fast convergence rate and small steady‐state ...
Sihai Zhao, Jiangye Xu, Yuyan Zhang
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Fractal and Fractional, 2023 The fractional gradient method has garnered significant attention from researchers. The common view regarding fractional-order gradient methods is that they have a faster convergence rate compared to classical gradient methods.
Luotang Ye, Yanmao Chen, Qixian Liu
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Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes
IEEE Transactions on Automatic Control, 2022 The paper considers distributed stochastic optimization over randomly switching networks, where agents collaboratively minimize the average of all agents' local expectation-valued convex cost functions. Due to the stochasticity in gradient observations, distributedness of local functions, and randomness of communication topologies, distributed ...
Jinlong Lei +3 more
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A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse
Algorithms, 2022 The principal issue in acoustic echo cancellation (AEC) is to estimate the impulse response between the loudspeaker and microphone of a hands-free communication device.
Alexandru-George Rusu +3 more
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Microseismic source locating method based on variable step size accelerated search
Rock and Soil Mechanics, 2022 Microseismic locating method is an important part of microseismic monitoring technology, the key of which is to locate the hypocenter. In this study, we analyze the two- and three-dimensional spatial distributions of microseismic locating objective ...
JIA Bao-xin +3 more
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Firefly Algorithm Based on Level-Based Attracting and Variable Step Size
IEEE Access, 2020 To address the challenge of local optimization and step size factor parameter setting in the full attraction model of the firefly algorithm (FA), this paper introduces level-based attraction and variable step size to FA.
Jia Zhao +5 more
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