Results 21 to 30 of about 13,071 (304)

Reconstructing a Helical Magnetic Field in the Solar Corona using Lagrange Multiplier Technique [PDF]

open access: yesIranian Journal of Astronomy and Astrophysics, 2023
We aim to reconstruct a nonlinear force-free magnetic field by minimizing the global departure of an initial field from a force-free and solenoidal state in the presence of helicity to obtain an appropriate representation of the magnetic field compatible
Nasim IldarTanha, Sadollah Nasiri
doaj   +1 more source

Controllability, not chaos, key criterion for ocean state estimation [PDF]

open access: yesNonlinear Processes in Geophysics, 2017
The Lagrange multiplier method for combining observations and models (i.e., the adjoint method or 4D-VAR) has been avoided or approximated when the numerical model is highly nonlinear or chaotic.
G. Gebbie   +3 more
doaj   +1 more source

Supergravity with mimetic dark matter

open access: yesEuropean Physical Journal C: Particles and Fields, 2021
We formulate a supersymmetric version of gravity with mimetic dark matter. The coupling of a constrained chiral multiplet to $$N = 1$$ N = 1 supergravity is made locally supersymmetric using the rules of tensor calculus.
Ali H. Chamseddine
doaj   +1 more source

The Influence of the Basic Parameters of the Numerical Model on the Contact Pressure in Dynamic Tasks [PDF]

open access: yesTransactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2013
The paper is devoted to quasi-static and low-velocity impact simulation using finite element modelling. The paper describes the effects of contact models, contact parameters, integration method, and the velocity of impact on contact stresses values ...
Irina SEMENOVA, Petr HORYL
doaj   +1 more source

A new multiplier for Lagrange interpolation in constrained non linear optimization [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2010
In this paper, we have investigated a new multiplier for the Lagrange interpolation by modifying the initial value of the multiplier in order to reduce the errors and avoid the use of arbitrary values for the initial .
ABBAS Y. AL-BAYIATI   +2 more
doaj   +1 more source

Comparison of Lagrange multipliers for telegraph equations

open access: yesAin Shams Engineering Journal, 2018
In this paper, we likewise calculate exact langrage multiplier and it progressively connects to the definite results of telegraph equations. This study witnesses the advantages of Exact Lagrange multipliers and their coupling with Variational Iteration ...
Muhammad Hamid   +3 more
doaj   +1 more source

A Simplified Solution Method for End-of-Term Storage Energy Maximization Model of Cascaded Reservoirs

open access: yesEnergies, 2022
In medium-term scheduling, the end-of-term storage energy maximization model is proposed to create conditions for the safety, stability and economic operation of the hydropower system after control term, which satisfies the system load demand undertaken ...
Xinyu Wu, Ruixiang Cheng, Chuntian Cheng
doaj   +1 more source

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

A semi-smoothing augmented Lagrange multiplier algorithm for low-rank Toeplitz matrix completion

open access: yesJournal of Inequalities and Applications, 2019
The smoothing augmented Lagrange multiplier (SALM) algorithm is a generalization of the augmented Lagrange multiplier algorithm for completing a Toeplitz matrix, which saves computational cost of the singular value decomposition (SVD) and approximates ...
Ruiping Wen, Shuzhen Li, Yonghong Duan
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

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