Generalized logarithmic penalty function method for solving smooth nonlinear programming involving invex functions [PDF]
Arab Journal of Basic and Applied Sciences, 2019 In this paper, we have reviewed some penalty function methods for solving constrained optimization problems in the literature and proposed a continuously differentiable logarithmic penalty function which consists of the proposed logarithmic penalty ...
Mansur Hassan, Adam Baharum
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A new logarithmic penalty function approach for nonlinear constrained optimization problem [PDF]
Decision Science Letters, 2019 This paper presents a new penalty function called logarithmic penalty function (LPF) and examines the convergence of the proposed LPF method. Furthermore, the LaGrange multiplier for equality constrained optimization is derived based on the first-order ...
Mansur Hassan , Adam Baharum
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Logarithmic penalty function method for invex multi-objective fractional programming problems [PDF]
Journal of Taibah University for Science, 2020 In this paper, a new logarithmic penalty function method is used for solving nonlinear multi-objective fractional programming problems (MOFPP) involving invex objectives and constraints functions with respect to the same function η.
Mansur Hassan +2 more
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Tensor Recovery Based on a Novel Non-Convex Function Minimax Logarithmic Concave Penalty Function
IEEE Transactions on Image Processing, 2023 arXiv admin note: substantial text overlap with arXiv:2201.12709, arXiv:2109 ...
Hongbing Zhang +2 more
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A Path-Following Algorithm for Linear Programming Using Quadratic and Logarithmic Penalty Functions [PDF]
SIAM Journal on Control and Optimization, 1993 Summary: Motivated by a recent work of \textit{R. Setiono} [`An interior dual proximal point algorithm for linear programs', Tech. report, Computer Sci. Dept., Univ. of Wisconsin, Madison, WI/USA (1989)], a path-following algorithm for linear programming using both logarithmic and quadratic penalty functions is proposed. In the algorithm, a logarithmic
Paul Tseng
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Similarity measure of time series based on Angle-distance Penalized Metric Dynamic Time Warping [PDF]
Scientific ReportsMeasuring the similarity of time series is a fundamental task in numerous information processing applications. Dynamic Time Warping (DTW) is a widely used method for time series similarity measurement, yet its reliance solely on linear Euclidean distance
Xiaofei Zeng +4 more
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Chemical Equilibrium Optimization Via Logarithmic Penalty Function Approach
Journal of Physics: Conference Series, 2020 Abstract Determining the chemical composition problem which is made up of a complex mixture specifically for chemical equilibrium has become one of the great importance, and it usually arises, especially in the performance of fuels and catalyst analysis and the fusion of the complicated organic compound.
Mansur Hassan +2 more
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An Efficient Penalty Method without a Line Search for Nonlinear Optimization
AxiomsIn this work, we integrate some new approximate functions using the logarithmic penalty method to solve nonlinear optimization problems. Firstly, we determine the direction by Newton’s method.
Assma Leulmi
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Increasing the efficiency of solving linear programming problems when solving systems of partial derivative differential equations using the control point method [PDF]
E3S Web of Conferences, 2023 The paper discusses the basic principles of the control point method, which reduces the solution of a linear system of partial differential equations to the solution of a linear programming (LP) problem.
Kler Aleksandr M., Epishkin Nikolai O.
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A variable-rate quantitative trait evolution model using penalized-likelihood [PDF]
PeerJ, 2021 In recent years it has become increasingly popular to use phylogenetic comparative methods to investigate heterogeneity in the rate or process of quantitative trait evolution across the branches or clades of a phylogenetic tree.
Liam J. Revell
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