Results 11 to 20 of about 134,266 (306)

Perbandingan Metode Gaussian Particle Swarm Optimization (GPSO) dan Lagrange Multiplier pada Masalah Economic Dispatch [PDF]

open access: yesComTech, 2012
On electric power system operation, economic planning problem is one variable to take into account due to operational cost efficiency. Economic Dispatch problem of electric power generation is discussed in this study to manage the output division on ...
Siti Komsiyah
doaj   +2 more sources

Ghost-free F(R) gravity with Lagrange multiplier constraint

open access: yesPhysics Letters B, 2017
We propose two new versions of ghost-free generalized F(R) gravity with Lagrange multiplier constraint. The first version of such theory for a particular degenerate choice of the Lagrange multiplier, corresponds to mimetic F(R) gravity.
S. Nojiri, S.D. Odintsov, V.K. Oikonomou
doaj   +2 more sources

Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso) [PDF]

open access: yesComTech, 2014
In the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the ...
Siti Komsiyah
doaj   +2 more sources

Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification. [PDF]

open access: yesEduc Psychol Meas, 2022
This article studies the Type I error, false positive rates, and power of four versions of the Lagrange multiplier test to detect measurement noninvariance in item response theory (IRT) models for binary data under model misspecification.
Guastadisegni L   +3 more
europepmc   +2 more sources

An AI-based Lagrange optimization for a design for concrete columns encasing H-shaped steel sections under a biaxial bending

open access: yesJournal of Asian Architecture and Building Engineering, 2023
shaped steel sections subjected to biaxial loads. The Lagrange multiplier method is used to optimize cost index (CIc), and CO2 emission of the columns.
Won-Kee Hong   +3 more
doaj   +1 more source

Singular limit of Allen-Cahn equation with constraints and its Lagrange multiplier [PDF]

open access: yes, 2014
We consider the Allen-Cahn equation with constraint. Our constraint is the subdifferential of the indicator function on the closed interval, which is the multivalued function.
Yamazaki, Noriaki   +5 more
core   +1 more source

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

DYNAMIC PROGRAMMING AND LAGRANGE MULTIPLIERS [PDF]

open access: yesProceedings of the National Academy of Sciences, 1956
Abstract : In this paper it is shown that a combination of the classical Lagrange multiplier formalism and the functional equation technique of dynamic programming enables a number of types of variational problems involving the computation and tabulation of functions of M variables to be treated by computing first sequences of functions of K variables,
openaire   +3 more sources

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

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