Results 1 to 10 of about 375,658 (336)

16QAM Blind Equalization via Maximum Entropy Density Approximation Technique and Nonlinear Lagrange Multipliers [PDF]

open access: yesThe Scientific World Journal, 2014
Recently a new blind equalization method was proposed for the 16QAM constellation input inspired by the maximum entropy density approximation technique with improved equalization performance compared to the maximum entropy approach, Godard’s algorithm ...
R. Mauda, M. Pinchas
doaj   +3 more sources

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   +3 more sources

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   +4 more sources

Solving Stochastic Reaction Networks with Maximum Entropy Lagrange Multipliers [PDF]

open access: yesEntropy, 2018
The time evolution of stochastic reaction networks can be modeled with the chemical master equation of the probability distribution. Alternatively, the numerical problem can be reformulated in terms of probability moment equations.
Michail Vlysidis, Yiannis N. Kaznessis
doaj   +3 more sources

Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers

open access: yesIEEE Access, 2021
The current paper has presented the study on theoretical dependences of the optimization parameter (the degree of transmission transparency) on the design factors of elastic-damping mechanism (EDM) in the transmission for tractors of small traction class
Sergey Senkevich   +6 more
doaj   +2 more sources

Projection-based stabilization of interface Lagrange multipliers in immersogeometric fluid-thin structure interaction analysis, with application to heart valve modeling. [PDF]

open access: yesComput Math Appl, 2017
This paper discusses a method of stabilizing Lagrange multiplier fields used to couple thin immersed shell structures and surrounding fluids. The method retains essential conservation properties by stabilizing only the portion of the constraint ...
Kamensky D   +3 more
europepmc   +2 more sources

Existence of augmented Lagrange multipliers: reduction to exact penalty functions and localization principle [PDF]

open access: yesMathematical Programming, 2017
In this article, we present new general results on existence of augmented Lagrange multipliers. We define a penalty function associated with an augmented Lagrangian, and prove that, under a certain growth assumption on the augmenting function, an ...
M V Dolgopolik
exaly   +2 more sources

Optimal Greedy Control in Reinforcement Learning

open access: yesSensors, 2022
We consider the problem of dimensionality reduction of state space in the variational approach to the optimal control problem, in particular, in the reinforcement learning method.
Alexander Gorobtsov   +6 more
doaj   +1 more source

Data-driven alternating current optimal power flow: A Lagrange multiplier based approach

open access: yesEnergy Reports, 2022
This paper proposes a data-driven Alternating Current Optimal Power Flow (AC-OPF) method assisted by Lagrange multipliers. Stacked Extreme Learning Machine (SELM) is introduced for AC-OPF learning to avoid the time-consuming training and hyperparameter ...
Xingyu Lei   +3 more
doaj   +1 more source

Qualitative Properties of Randomized Maximum Entropy Estimates of Probability Density Functions

open access: yesMathematics, 2021
The problem of randomized maximum entropy estimation for the probability density function of random model parameters with real data and measurement noises was formulated.
Yuri S. Popkov
doaj   +1 more source

Home - About - Disclaimer - Privacy