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Michael I. Argyros, Gus I. Argyros, Ioannis K. Argyros, Samundra Regmi and Santhosh George
A new technique is developed to extend the convergence ball of Newton?s algorithm with projections for solving generalized equations with constraints on the multidimensional Euclidean space. This goal is achieved by locating a more precise region than in...
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Liliya A. Demidova and Artyom V. Gorchakov
Inspired by biological systems, swarm intelligence algorithms are widely used to solve multimodal optimization problems. In this study, we consider the hybridization problem of an algorithm based on the collective behavior of fish schools. The algorithm ...
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Ankush Aggarwal and Sanjay Pant
Finding roots of equations is at the heart of most computational science. A well-known and widely used iterative algorithm is Newton?s method. However, its convergence depends heavily on the initial guess, with poor choices often leading to slow converge...
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Chieh-Li Chen, Chia-En Ho and Her-Terng Yau
This paper investigates the optimization of the performance of a solar powered Stirling engine based on finite-time thermodynamics. Heat transference in the heat exchangers between a concentrating solar collector and the Stirling engine is studied. The i...
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Yuanyuan Zhang, Chunling Ren, Haodong Meng and Yong Wang
To enhance the dynamic performance of half-vehicle seat systems and reduce vibrations in both the vertical and pitching directions, a nonlinear energy sink inerter (NESI) can be introduced and aligned with lightweight design principles. A dynamic model o...
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Julie Dumas, Henri-Pierre Charles, Kévin Mambu and Maha Kooli
This article describes a software environment called HybroGen, which helps to experiment binary code generation at run time. As computing architectures are getting more complex, the application performance is becoming data-dependent. The proposed experim...
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