Variable step‐size implementation of sixth‐order Numerov‐type methods
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DOI: 10.1002/mma.5929
Abstract: The explicit sixth‐order Numerov‐type family of methods is considered. A new representative from this family is produced and equipped with a cheap step‐size changing algorithm. Actually, after the completion of a step, this remains the… read more here.
Keywords: step size; numerov type; step; sixth order ... See more keywords
Seventh‐Order, Variable Step Size, Two‐Step Runge–Kutta–Nyström Pairs for Linear Inhomogeneous Problems
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DOI: 10.1002/mma.70258
Abstract: This study presents a seventh‐algebraic‐order explicit Numerov‐type numerical method, specifically tailored for the efficient solution of linear inhomogeneous differential equations. To optimize its computational efficiency, a cost‐effective step size adjustment algorithm is integrated. This adaptive… read more here.
Keywords: seventh order; size; step size; step ... See more keywords
Optimal evaluation of time step size in numerical simulation for two-dimensional flow sensing
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DOI: 10.1007/s10586-017-1250-4
Abstract: This paper proposes an optimal evaluation of time step size for numerical computations based on the 180 numerical simulations of the two-dimensional unsteady flow at low Reynolds number around a circular cylinder. A proper time… read more here.
Keywords: optimal evaluation; size; step size; time step ... See more keywords
The generalized proximal point algorithm with step size 2 is not necessarily convergent
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DOI: 10.1007/s10589-018-9992-3
Abstract: The proximal point algorithm (PPA) is a fundamental method in optimization and it has been well studied in the literature. Recently a generalized version of the PPA with a step size in (0, 2) has been… read more here.
Keywords: step size; step; proximal point; point algorithm ... See more keywords
Exact optimal values of step-size coefficients for boundedness of linear multistep methods
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DOI: 10.1007/s11075-017-0354-5
Abstract: Linear multistep methods (LMMs) applied to approximate the solution of initial value problems—typically arising from method-of-lines semidiscretizations of partial differential equations—are often required to have certain monotonicity or boundedness properties (e.g., strong-stability-preserving, total-variation-diminishing or total-variation-boundedness… read more here.
Keywords: optimal values; linear multistep; size; step size ... See more keywords
A unified analytical framework for distributed variable step size LMS algorithms in sensor networks
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DOI: 10.1007/s11235-018-0447-z
Abstract: Internet of Things (IoT) is helping to create a smart world by connecting sensors in a seamless fashion. With the forthcoming fifth generation (5G) wireless communication systems, IoT is becoming increasingly important since 5G will… read more here.
Keywords: step size; sensor networks; variable step;
Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil
Sign Up to like & getrecommendations! Published in 2022 at "Evolving Systems"
DOI: 10.1007/s12530-021-09388-z
Abstract: A prediction model is an indispensable tool in business, helping to make decisions, whether in the short, medium, or long term. In this context, the implementation of machine learning techniques in time series forecasting models… read more here.
Keywords: step size; evolving participatory; participatory learning; learning kernel ... See more keywords
Adaptive variable step-size neural controller for nonlinear feedback active noise control systems
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DOI: 10.1016/j.apacoust.2016.09.022
Abstract: Abstract Adaptive filter techniques and the filtered-x least mean square (FxLMS) algorithm have been used in Active Noise Control (ANC) systems. However, their effectiveness may degrade due to the nonlinearities and modeling errors in the… read more here.
Keywords: control; step size; controller; noise ... See more keywords
Adaptive step size selection in distributed optimization with observation noise and unknown stochastic target variation
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DOI: 10.1016/j.automatica.2021.109940
Abstract: Abstract This paper introduces distributed adaptive algorithms for optimal step size selection in a distributed constrained optimization problem that involves stochastic target variations and noisy observations. The limit behavior of the step size sequences reflects… read more here.
Keywords: selection distributed; step; target; step size ... See more keywords
Treatment of efficiency for temperature and concentration profiles reconstruction of soot and metal-oxide nanoparticles in nanofluid fuel flames
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Heat and Mass Transfer"
DOI: 10.1016/j.ijheatmasstransfer.2018.12.135
Abstract: Abstract The choice of the step size plays an important role in one dimensional searching (ODS) algorithm in the inverse radiation problem to simultaneously estimate temperature and concentration distributions of soot and metal-oxide nanoparticles in… read more here.
Keywords: step size; soot metal; metal oxide; step ... See more keywords
Novel neural network IC-based variable step size fuel cell MPPT controller: Performance, efficiency and lifetime improvement
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DOI: 10.1016/j.ijhydene.2016.12.079
Abstract: Abstract In this paper, a neural network IC-based variable step size MPPT controller for fuel cell power system is proposed. The efficiency of the proposed neural network MPPT has been successfully studied using a 7 kW… read more here.
Keywords: mppt controller; network; step size; neural network ... See more keywords