Integer linear programming for unsupervised training set selection in molecular machine learning by Matthieu Haeberle, Puck van Gerwen, Ruben Laplaza, Ksenia R Briling, Jan Weinreich, Friedrich Eisenbrand, Clémence Corminboeuf

“…Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. …”
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Newton-Kantorovich Method for Solving One of the Non-Linear Sturm-Liouville Problems by Hussien A. H. Abugirda, Khaldoun S. Al-Yasiri, Mohammed Kh. Abdullah

“…Also, to show the efficiency of applying this method to solve these problems, a comparison is made in this paper between the Newton-Kantorovich method and the Adomian decomposition method applied to the same non-linear Sturm-Liouville problems under consideration in this work. …”
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Predicting Market Value of Iranian Football Players using Linear Modeling Techniques by Rasool Nazari, Saeid Azari

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Cons-training tensor networks: Embedding and optimization over discrete linear constraints by Javier Lopez-Piqueres, Jing Chen

“…These tensor networks are particularly tailored for modeling distributions with support strictly over the feasible space, offering benefits such as reducing the search space in optimization problems, alleviating overfitting, improving training efficiency, and decreasing model size. Central to our approach is the concept of a quantum region, an extension of quantum numbers traditionally used in $U(1)$ symmetric tensor networks, adapted to capture any linear constraint, including the unconstrained scenario. …”
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Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems by Mahmoud A. Abo-Sinna, Ibrahim A. Baky

“…The method of variable change on the under- and over-deviational variables of the membership goals associated with the fuzzy goals of the model is introduced to solve the problem efficiently by using linear goal programming (LGP) methodology. …”
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A review of finite control set model predictive control for linear machines by Wei Xu, Han Xiao, Yirong Tang, Jian Ge, Leilei Guo, Abdul Khalique Junejo

“…Among the numerous control methods of LM drive systems, finite control set model predictive control (FCS‐MPC) method has been given special attention due to its clear concept, fast response performance, and ability to handle constrained multivariate non‐linear control problems. It is widely used to improve the performance and efficiency of overall LM drive systems. …”
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Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…The present study intends to use various types of linear and nonlinear analysis of the EEG signal to classify alcoholics and non-alcoholics and provide a direct comparison of the efficiency of each of the analysis methods. …”
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Research on disc cutter excavation characteristics for different blade width based on numerical simulations and experiments by Yong SHANG, Jingdong SUN, Haifeng JIANG, Shunhai XU, Honglei DUAN, Chaoyang SUN

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Cost-Optimal Fuel Utilization, Genset Configuration and Battery Sizing: A Case-Study of a Norwegian Trawler by Tor Hennum, Øyvind Kåre Kjerstad, Ann R. Nerheim

Subjects: “…energy fuel efficiency…”
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Application of data envelopment analysis in a small-scale transportation network. by McWatters, A.

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Learning from low precision samples by Ji In Choi, Madeleine Georges, Jung Ah Shin, Olivia Wang, Tiffany Zhu, Tapan Shah

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Linear elastic iterative method for stability ultimate capacity of equal-leg angle towers by JingJing Han, Wei Zhang, LuFeng Yang

“…Abstract An efficient linear elastic iterative method is proposed for the stability ultimate capacity of equal-leg angle towers, using an elastic modulus adjustment strategy in this paper. …”
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A FAST ALGORITHM FOR COMPUTING SHORT AND LONG –LENGTH LINEAR AND CIRCULAR DISCRETE CONVOLUTION by Ali K. Nahar, Hussein K. Khleaf

“…This work presents a set of efficient algorithmic methods for both linear and circular computing. …”
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Computationally Improved Optimal Control Methodology for Linear Programming Problems of Flexible Manufacturing Systems by Yen-Liang Pan, Yi-Sheng Huang, Yi-Shun Weng, Weimin Wu, MuDer Jeng

“…It is well known that the theory of regions is the efficient method for obtaining optimal (i.e., maximally permissive) controllers. …”
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An Asymptotic-Numerical Hybrid Method for Solving Singularly Perturbed Linear Delay Differential Equations by Süleyman Cengizci

“…In this work, approximations to the solutions of singularly perturbed second-order linear delay differential equations are studied. We firstly use two-term Taylor series expansion for the delayed convection term and obtain a singularly perturbed ordinary differential equation (ODE). …”
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A Survey of Linear Network Coding and Network Error Correction Code Constructions and Algorithms by Michele Sanna, Ebroul Izquierdo

“…Especially determining the coding characteristics has its importance in providing the premise for an efficient transmission. In this paper, we review the recent breakthroughs in linear network coding for acyclic networks with a survey of code constructions literature. …”
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TOA-Based Source Localization: A Linearization Approach Adopting Coordinate System Translation by Shunyuan Sun, Shouhong Zhu, Zhiguo Ding, Baoguo Xu

“…In this paper, we devise a new approach that utilizes linearization and adopts suitable coordinate system translation to eliminate nonlinearity from the converted observation equations. …”
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Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks by Haijiang GE, Ning JIA, Kaikai CHI, Yunzhi CHEN

“…Aiming at a cognitive radio network (CRN) consisting of a pair of primary users and M pairs of secondary users, the secondary throughput maximization for CRN based on the non-linear energy harvesting model was studied.Specifically, in the case of considering secondary transmitter (ST) circuit power, the secondary throughput maximization (STM) problem with primary users’ throughput demands was first modeled as a non-linear optimization problem and then transformed into a convex optimization problem.Finally, a low-complexity algorithm combining the golden section and dichotomy was proposed.By applying this low-complexity algorithm, the optimal time allocation of the primary transmitter (PT)’s energy transmission and secondary users’ information transmission, and the optimal transmission power of PT were obtained.In addition, for the case of neglecting the ST circuit power, the convex property of the STM problem was first proved, and then a more efficient algorithm was designed to solve it.The simulation results show that compared with the equal time allocation method and the link gain priority method, the proposed design algorithm significantly improves the throughput of secondary users.…”
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Cartesian Mesh Linearized Euler Equations Solver for Aeroacoustic Problems around Full Aircraft by Yuma Fukushima, Daisuke Sasaki, Kazuhiro Nakahashi

“…The linearized Euler equations (LEEs) solver for aeroacoustic problems has been developed on block-structured Cartesian mesh to address complex geometry. …”
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An Accelerated Proximal Gradient Algorithm for Singly Linearly Constrained Quadratic Programs with Box Constraints by Congying Han, Mingqiang Li, Tong Zhao, Tiande Guo

“…At each iteration, the subproblem whose Hessian matrix is diagonal and positive definite is an easy model which can be solved efficiently via searching a root of a piecewise linear function. …”
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