A New LQR Optimal Control for a Single-Link Flexible Joint Robot Manipulator Based on Grey Wolf Optimizer by Navid Razmjooy, Mehdi Ramezani, Ali Namadchian

“…After that, a Linear Quadratic Regulator (LQR) controller is used for optimal control of the manipulator. …”
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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…It can be used to capture the response of covariates to linear and nonlinear effects at different quantile points. …”
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Addressing Due Date and Storage Restrictions in the S-Graph Scheduling Framework by Krisztián Attila Bakon, Tibor Holczinger

“…The framework is further enhanced by integrating linear programming (LP) techniques to adjust machine assignments and operation timings dynamically. …”
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Parameter estimation in the Farlie–Gumbel–Morgenstern bivariate Bilal distribution via multistage ranked set sampling by S. P. Arun, M. R. Irshad, R. Maya, Amer I. Al-Omari, Shokrya S. Alshqaq

“…Ranked set sampling is a well-known and efficient method compared to simple random sampling for estimating population parameters. …”
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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…Corrective actions are modeled through a mixed integer linear programming algorithm within system areas established through spectral clustering. …”
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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…Tunnel construction, a critical aspect of railway engineering, is a repetitive process with distinct linear characteristics. While the Linear Scheduling Method (LSM) is widely used for scheduling optimization in linear projects, it struggles to accommodate dynamic construction sequences, reverse construction, and flexible team allocation. …”
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Generation Algorithms for Thévenin and Norton Equivalent Circuits by Mihaela Grib, Ioana-Gabriela Sirbu, Lucian Mandache, Marilena Stanculescu, Mihai Iordache, Lavinia Bobaru, Dragos Niculae

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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…This paper investigates the effectiveness of integrating explainable machine learning (ML) model and Bayesian generalized linear model (GLM) to enhance both predictive accuracy and uncertainty quantification in Vs prediction. …”
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Tutorial on modelling chromatographic surrogation of biological processes by Elisabet Fuguet, Martí Rosés

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Optimizing urban transportation network reliability by analyzing road traffic accidents by Isaac Pemberthy, Eduard Gañan-Cardenas

“…This assessment informs of a linear programming (LP) optimization framework designed to allocate intervention budgets effectively. …”
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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…One approach is to use linear inverse modelling and Markov Chain Monte Carlo (LIM-MCMC) techniques to set up an inverse LIM problem using empirical data constraints, and then sample multiple plausible food webs from the inverse problem using an MCMC algorithm. …”
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Sequential Hybrid Beamforming for Radio Stripes by Joumana JOUMANA, Daniel Castanheira, Adao Silva, Rui Dinis, Atilio Gameiro

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Finely-Tuned Bis(imino)pyridylcobalt Complexes Enhance Ethylene Polymerization: The Role of Bulky and Halogen Substituents by Elizabeth Ogbe, Yanping Ma, Yizhou Wang, Jiahao Gao, Yang Sun, Wen-Hua Sun

“…More importantly, all resultant polyethylenes were characterized as having vinyl-terminal and high-linear feature along with narrow dispersity; the molecular weights could be adapted in the ranges from 6.4 to 50.0 kg mol⁻¹. …”
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A Fast Static Voltage Stability Contingency Screening and Ranking Method Considering Source-Load Power Fluctuation by Yaning WU, Yi LUO, Shengcun ZHOU, Muyi TANG, Xuancheng YI

“…In order to effectively analyze the influence of equipment failure on voltage stability under the random fluctuation of new energy power generation and load, a fast static voltage stability contingency screening and ranking method considering source-load power fluctuation is proposed based on the local voltage stability index (L index). Firstly, the linearized calculation formula of L index under the change of system network topology and node injection power is given based on the related total differential equation deduced; secondly, the reference operation mode is selected for power flow calculation to obtain the initial value, and a linearized method with correction is proposed to calculate the L index under each expected accident to obtain the serious fault set; and then, based on the deviation of the renewable energy and load power curve value from the benchmark operating point, the L index in the serious fault set is calculated and the time-series ranking is performed; finally, the ultimate contingency ranking is obtained by comprehensively comparing the time-series analysis results. …”
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Distributed Estimation for <i>ℓ</i>₀-Constrained Quantile Regression Using Iterative Hard Thresholding by Zhihe Zhao, Heng Lian

“…We propose a communication-efficient distributed estimator which is linearly convergent to the true parameter up to the statistical precision of the model, despite the fact that the check loss minimization problem with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mo mathvariant="sans-serif-italic">ℓ</mo><mn>0</mn></msub></semantics></math></inline-formula> constraint is neither strongly smooth nor convex. …”
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A Dynamic Reactive Power Optimization Algorithm for Regional Power Grid Based on Decoupling Interior Point Method and Mixed Integer Programming Method by Jie ZHANG, Yunyao ZHENG, Shengchun LIU, Yongfei MA, Wei YAN, Hengfeng WANG

“…Firstly, the sigmoid function is used to deal with the absolute value constraint to realize the continuity of the original model, and the idea of decoupling interior point method is used to construct the diagonal band edge structure of the KKT modified equation, so as to realize the time block decoupling and efficient solution of the model. Secondly, the original model is linearized near the current continuous solution, and a mixed integer linear programming model involving all constraints of the original model is constructed, so as to determine the optimal solution of the discrete reactive power control equipment. …”
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Using machine learning to predict gamma shielding properties: a comparative study by T A Nahool, A M Abdelmonem, M S Ali, A M Yasser

“…This study employed machine learning (ML) algorithms to predict the linear attenuation coefficients (LACs) of materials in inorganic scintillation detectors, which are crucial for evaluating self-shielding properties. …”
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New results on eliminating the duality gap of the second-order-cone reformulation for extended trust-region subproblem with two intersecting cuts by Wang, Meiling

“…In this paper, we consider the nonconvex extended trust-region subproblem with two intersecting linear inequality constraints, $(\mathrm{ETR}_2)$, and use a sequence of semi-definite programming (SDP) problems with second-order-cone(SOC) constraints to eliminate the duality gap of the SOC reformulation for $(\mathrm{ETR}_2)$. …”
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A big data approach to mitigating the MAUP in measuring excess commuting by Cehong Luo, Yujie Hu, Fahui Wang

“…Through the application of Linear Programming (LP) and Integer Linear Programming (ILP) models, this research measures minimum and actual commuting patterns across different spatial scales—census tract, block group, and individual trip levels. …”
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Wave Actions and Responses for Large-Diameter Monopod Platform Structures by Ali ETE

“…The sea-wave loads acting on the fixed offshore structures are estimated by using Airy's linear wave theory and Morison's equation, dissociating the total force into an inertia force component and a drag force component. …”
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