Results 21 to 30 of about 314,654 (293)
Demand-Side Energy Management Based on Nonconvex Optimization in Smart Grid
Energies, 2017 Demand-side energy management is used for regulating the consumers’ energy usage in smart grid. With the guidance of the grid’s price policy, the consumers can change their energy consumption in response. The objective of this study is jointly optimizing
Kai Ma +4 more
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Hamiltonization of Elementary Nonholonomic Systems
, 2015 In this paper, we develop the Chaplygin reducing multiplier method; using this method, we obtain a conformally Hamiltonian representation for three nonholonomic systems, namely, for the nonholonomic oscillator, for the Heisenberg system, and for the ...
Bizyaev, Ivan A. +2 more
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EnergiesWe discuss several algorithms for solving a network optimization problem of simultaneous routing and bandwidth allocation in green networks in a decomposed way, based on the augmented Lagrangian. The problem is difficult due to the nonconvexity caused by
Anthony Chukwuemeka Nwachukwu +1 more
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A Nitsche-based domain decomposition method for hypersingular integral equations
, 2011 We introduce and analyze a Nitsche-based domain decomposition method for the solution of hypersingular integral equations. This method allows for discretizations with non-matching grids without the necessity of a Lagrangian multiplier, as opposed to the ...
Chouly, Franz, Heuer, Norbert
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The Lagrange Multiplier Method for Dirichlet's Problem [PDF]
Mathematics of Computation, 1981 The Lagrange multiplier method of Babuška for the approximate solution of Dirichlet’s problem for second order elliptic equations is reformulated. Based on this formulation, new estimates for the error in the solution and the boundary flux are given. Efficient methods for the solution of the approximate problem are discussed.
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An Adaptive Alternating Direction Method of Multipliers
Journal of Optimization Theory and Applications, 2022 AbstractThe alternating direction method of multipliers (ADMM) is a powerful splitting algorithm for linearly constrained convex optimization problems. In view of its popularity and applicability, a growing attention is drawn toward the ADMM in nonconvex settings.
Sedi Bartz, Rubén Campoy, Hung M. Phan
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Dual segmentation approximate multiplier
Electronics Letters, 2021 This letter proposes a new design for a dual segmentation approximate multiplier. The proposed approximate multiplier uses the static segment method (SSM) to select an initial multiplication segment.
Ling Li +2 more
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Simultaneous least squares fitter based on the Lagrange multiplier method
, 2013 We developed a least squares fitter used for extracting expected physics parameters from the correlated experimental data in high energy physics.
Guan, Yinghui +3 more
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A Low-Power and High-Accuracy Approximate Multiplier With Reconfigurable Truncation
IEEE Access, 2022 Multipliers are among the most critical arithmetic functional units in many applications, and those applications commonly require many multiplications which result in significant power consumption. For applications that have error tolerance, employing an
Fang-Yi Gu, Ing-Chao Lin, Jia-Wei Lin
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Open MathematicsIn this study, we consider a viscoelastic Shear beam model with no rotary inertia. Specifically, we study ρ1φtt−κ(φx+ψ)x+(g∗φxx)(t)=0,−bψxx+κ(φx+ψ)=0,\begin{array}{rcl}{\rho }_{1}{\varphi }_{tt}-\kappa {\left({\varphi }_{x}+\psi )}_{x}+\left(g\ast ...
Al-Mahdi Adel M.
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