Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs by Sergio Muñoz-Tapasco, Andrés F. Calvo-Salcedo, Jose A. Jaramillo-Villegas

“…Spectrum allocation methods, such as the Routing, Modulation Level, and Spectrum Assignment (RMLSA) approach, play a crucial role in executing this strategy efficiently. While current algorithms have improved allocation efficiency, further development is necessary to optimize network performance. …”
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Use Linear Weighted Genetic Algorithm to Optimize the Scheduling of Fog Computing Resources by Ruisheng Li

“…The experimental results show that when the user specifies the preference weight, the optimal solution can be obtained by the genetic algorithm based on linear weighting, and the algorithm execution efficiency is high. …”
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Recursive Identification for Dynamic Linear Systems from Noisy Input-Output Measurements by Dan Fan, Kueiming Lo

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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Abstract Unsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis. …”
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PARALLEL APPROACH TO SOLVE OF THE DIRECT SOLUTION OF LARGE SPARSE SYSTEMS OF LINEAR EQUATIONS by Michal Bošanský, Bořek Patzák

“…The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric systems of linear equations, that can be part of any finite element software. …”
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Exact Artificial Boundary Conditions for Quasi-Linear Problems in Semi-Infinite Strips by Yajun Chen, Qikui Du

“…In this paper, the exact artificial boundary conditions for quasi-linear problems in semi-infinite strips are investigated. …”
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On Spectral Homotopy Analysis Method for Solving Linear Volterra and Fredholm Integrodifferential Equations by Z. Pashazadeh Atabakan, A. Kılıçman, A. Kazemi Nasab

“…A modification of homotopy analysis method (HAM) known as spectral homotopy analysis method (SHAM) is proposed to solve linear Volterra integrodifferential equations. Some examples are given in order to test the efficiency and the accuracy of the proposed method. …”
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DEVELOPING AND THE ANALYSIS OF MATHEMATICAL MODELS OF GENERATORS OF LINEAR AND RECIPROCATING TYPES WITH ELECTROMAGNETIC EXCITATION by A. B. Menzhinski, A. N. Malashin, Yu. V. Suhodolov

“…So if an increase of the magnitude of the working stroke of the movable part takes place the benefits of the linear generator are undeniable. However, it should be noted that a reduction of the stroke magnitude of the movable part of the linear generator is limited by constructional dimensions of the magnetic system of the generator, which reduces its efficiency at low value of the working stroke of the movable part.…”
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Approximate Numerical Solutions for Linear Volterra Integral Equations Using Touchard Polynomials by Jalil Talab Abdullah

“…In this paper, Touchard polynomials (TPs) are presented for solving Linear Volterra integral equations of the second kind (LVIEs-2k) and the first kind (LVIEs-1k) besides, the singular kernel type of this equation. …”
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A New Conjugate Gradient Method for Finding the Minimum of Non Linear Functions by Abbas Al-Bayati, Basim Hassan

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An Unbiased Convex Estimator Depending on Prior Information for the Classical Linear Regression Model by Mustafa I. Alheety, HM Nayem, B. M. Golam Kibria

“…We propose an unbiased restricted estimator that leverages prior information to enhance estimation efficiency for the linear regression model. The statistical properties of the proposed estimator are rigorously examined, highlighting its superiority over several existing methods. …”
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Generalized Preconditioned MHSS Method for a Class of Complex Symmetric Linear Systems by Cui-Xia Li, Yan-Jun Liang, Shi-Liang Wu

“…Numerical experiments are reported to confirm the efficiency of the proposed methods.…”
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Solutions of First-Order Volterra Type Linear Integrodifferential Equations by Collocation Method by Olumuyiwa A. Agbolade, Timothy A. Anake

“…The numerical solutions of linear integrodifferential equations of Volterra type have been considered. …”
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A Simulation Study of Some Restricted Estimators in Restricted Linear Regression Model by Bader Aboud Mohammad, Mustafa Ismaeel Naif

“… When the multicollinearity exists in linear regression model, the result of the Restricted Least Square estimator (RLS) is unstable. …”
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A non-linear element for analysing elastic frame structures at large deflections by Nguyen Dinh Kien

“… A non-linear finite element for analyzing elastic frame structures at large deflections is presented. …”
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New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models by Yunbei Ma, Xuan Luo

“…In biomedical research, one major objective is to identify risk factors and study their risk impacts, as this identification can help clinicians to both properly make a decision and increase efficiency of treatments and resource allocation. A two-step penalized-based procedure is proposed to select linear regression coefficients for linear components and to identify significant nonparametric varying-coefficient functions for semiparametric varying-coefficient partially linear Cox models. …”
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Synchronization Analysis for Stochastic Inertial Memristor-Based Neural Networks with Linear Coupling by Lixia Ye, Yonghui Xia, Jin-liang Yan, Haidong Liu

“…This paper concerns the synchronization problem for a class of stochastic memristive neural networks with inertial term, linear coupling, and time-varying delay. Based on the interval parametric uncertainty theory, the stochastic inertial memristor-based neural networks (IMNNs for short) with linear coupling are transformed to a stochastic interval parametric uncertain system. …”
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Quasi-Linear Convective Systems in Catalonia Detected Through Radar and Lightning Data by Tomeu Rigo, Carme Farnell

“…Quasi-Linear Convective Systems (QLCSs) are a type of Mesoscale Convective System characterised by their linear shape and association with severe weather phenomena (such as hail, tornadoes, or wind gusts). …”
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Polypropylene blends: Impact of long chain-branched polypropylene on crystallization of linear polypropylene by Soňa Zenzingerová, Jana Navratilova, Lenka Gajzlerová, Michal Kudláček, David Jaška, Lubomir Benicek, Roman Čermák

“…This study compares the efficiency of commercially available sorbitol-based clarifying agent (NA) and varying amounts of long chain-branched polypropylene (LCBPP) acting as a specific α-nucleating agent for linear polypropylene (PP). …”
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Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models by Weixian Wang, Maozai Tian

“…This paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model. …”
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