Results 31 to 40 of about 13,071 (304)

Existence of Generalized Augmented Lagrange Multipliers for Constrained Optimization Problems

open access: yesMathematical and Computational Applications, 2020
The augmented Lagrange multiplier as an important concept in duality theory for optimization problems is extended in this paper to generalized augmented Lagrange multipliers by allowing a nonlinear support for the augmented perturbation function.
Yue Wang, Jinchuan Zhou, Jingyong Tang
doaj   +1 more source

Consistency between black hole and mimetic gravity – Case of (2 + 1)-dimensional gravity

open access: yesPhysics Letters B, 2022
We show that the mimetic theory with the constraint gρσ∂ρϕ∂σϕ=1 cannot realize the black hole geometry with the horizon(s). To overcome such issue, we may change the mimetic constraint a little bit by ω(ϕ)gρσ∂ρϕ∂σϕ=−1, where ω(ϕ) is a function of the ...
Shin'ichi Nojiri, G.G.L. Nashed
doaj   +1 more source

A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information

open access: yesIEEE Access, 2019
In this paper, a Lagrange multiplier method is investigated for designing distributed optimization algorithm, which convergence is analyzed from the view of multi-agent networks with connected graphs.
Yan Zhao, Qingshan Liu
doaj   +1 more source

Analysis of Wide-Frequency Dense Signals Based on Fast Minimization Algorithm

open access: yesEnergies, 2022
To improve the detection speed for wide-frequency dense signals (WFDSs), a fast minimization algorithm (FMA) was proposed in this study. Firstly, this study modeled the WFDSs and performed a Taylor-series expansion of the sampled model.
Zehui Yuan   +4 more
doaj   +1 more source

Computational methods of Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier on economic dispatch issues (case study on electrical system of Java-Bali IV area)

open access: yesEPJ Web of Conferences, 2014
The objective in this paper is about economic dispatch problem of electric power generation where scheduling the committed generating units outputs so as to meet the required load demand at minimum operating cost, while satisfying all units and system ...
Komsiyah S.
doaj   +1 more source

Augmented Lagrangian method for imposing nonlinear multi freedom constraints in static analysis for frames using FEM [PDF]

open access: yesE3S Web of Conferences, 2021
This paper focuses on the treatment of nonlinear multi freedom constraints using an augmented Lagrangian method in finite element analysis of frames. The process of imposing boundary constraints is developed by changing the assembly stiffness equation to
Bich Quyen Vu Thi   +3 more
doaj   +1 more source

Efficient Wald Tests for Fractional Unit Roots [PDF]

open access: yes, 2007
In this article we introduce efficient Wald tests for testing the null hypothesis of the unit root against the alternative of the fractional unit root.
Velasco Gómez, Carlos   +4 more
core   +1 more source

An improved interval finite element method based on the element-by-element technique for large truss system and plane problems

open access: yesAdvances in Mechanical Engineering, 2018
The interval finite element method based on the element-by-element technique is proved to be a rigorous and efficient method for considering interval uncertainties.
Jingbo Su   +4 more
doaj   +1 more source

Quantum dynamics of Lagrange multipliers

open access: yesPhysical Review D, 2023
When implementing a non-linear constraint in quantum field theory by means of a Lagrange multiplier, $ł(x)$, it is often the case that quantum dynamics induce quadratic and even higher order terms in $ł(x)$, which then does not enforce the constraint anymore. This is illustrated in the case of Unimodular Gravity, where the constraint is that the metric
Enrique Álvarez   +3 more
openaire   +3 more sources

A Nonlinear Lagrange Algorithm for Stochastic Minimax Problems Based on Sample Average Approximation Method

open access: yesJournal of Applied Mathematics, 2014
An implementable nonlinear Lagrange algorithm for stochastic minimax problems is presented based on sample average approximation method in this paper, in which the second step minimizes a nonlinear Lagrange function with sample average approximation ...
Suxiang He, Yunyun Nie, Xiaopeng Wang
doaj   +1 more source

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