A Full Nesterov-Todd Step Infeasible Interior-point Method for Symmetric Optimization in the Wider Neighborhood of the Central Path. [PDF]
Stat Optim Inf Comput, 2021 In this paper, an improved Interior-Point Method (IPM) for solving symmetric optimization problems is presented. Symmetric optimization (SO) problems are linear optimization problems over symmetric cones.
Lesaja G, Wang GQ, Oganian A.
europepmc +2 more sources
A Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization with the arc-search strategy [PDF]
Journal of Inequalities and Applications, 2017 In this paper, we propose a Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization using the arc-search strategy.
Ximei Yang, Yinkui Zhang
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Generalized symmetric ADMM for separable convex optimization [PDF]
Computational Optimization and Applications, 2017 The alternating direction method of multipliers (ADMM) has been proved to be effective for solving separable convex optimization subject to linear constraints.
Jianchao Bai +3 more
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Optimization of quasi-symmetric stellarators with self-consistent bootstrap current and energetic particle confinement [PDF]
Physics of Plasmas, 2022 Quasi-symmetry can greatly improve the confinement of energetic particles and thermal plasma in a stellarator. The magnetic field of a quasi-symmetric stellarator at high plasma pressure is significantly affected by the bootstrap current, but the ...
M. Landreman, S. Buller, M. Drevlak
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Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2021 The optimization of three-dimensional device has widely been explored and designated as computational challenge in photonic device design. In this context, this work presents a novel multi-symmetric level (MSL) optimization procedure based on Genetic ...
Marcos S. Gonçalves +3 more
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Mathematics, 2021 This paper is devoted to derive optimality conditions and duality theorems for interval-valued optimization problems based on gH-symmetrically derivative.
Yating Guo +4 more
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Computing Symplectic Eigenpairs of Symmetric Positive-Definite Matrices via Trace Minimization and Riemannian Optimization [PDF]
SIAM Journal on Matrix Analysis and Applications, 2021 We address the problem of computing the smallest symplectic eigenvalues and the corresponding eigenvectors of symmetric positive-definite matrices in the sense of Williamson's theorem.
N. T. Son, P. Absil, Bin Gao, T. Stykel
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Well-Posedness and Porosity for Symmetric Optimization Problems
Symmetry, 2021 In the present work, we investigate a collection of symmetric minimization problems, which is identified with a complete metric space of lower semi-continuous and bounded from below functions.
A. Zaslavski
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Nihon Kikai Gakkai ronbunshu, 2021 This paper provides a vector-valued level set-based topology optimization method for multiple materials. The proposed method is characterized by a perfectly symmetric representation of multi-material by a vector valued level set function, which lowers ...
Masaki NODA +2 more
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A novel heterogenous ensemble theory for symmetric 5G cells segmentation: Intelligent RAN analytics
International Journal of Intelligent Networks, 2023 MNOs are investing more in 5G, rolling out sites in urban and specific rural areas. Meanwhile, it remains imperative to consistently maintain the network performance above a certain threshold for optimal user experience.
Jean Nestor M. Dahj +2 more
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