Showing 221 - 240 results of 281 for search 'local time (mathematics)', query time: 0.08s Refine Results
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    Modelling transmission and control of Toxoplasma gondii in New Zealand farmland by Rachelle N. Binny, Graham J. Hickling, Alex James, Chris N. Niebuhr

    Published 2025-02-01
    “…Predator control of rodents and feral cats has potential to reduce or even eliminate transmission of T. gondii on farms; however, the efficacy of such management is uncertain. We apply a mathematical model of T. gondii transmission dynamics in feral cat and rodent populations in New Zealand farmland and simulate varying intensities of predator control to predict changes in T. gondii prevalence and environmental contamination levels over time. …”
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    Vehicle-Mounted Photovoltaic System Energy Management in Intelligent Transportation Systems: A Maximum Power Point Tracking Control by Jingao Wang, Qifei Liu, Silan Jing

    Published 2021-01-01
    “…The maximum power point (MPP) is solved directly by the mathematical method based on the mathematical model of I-U relation mathematics, and the DC-DC circuit is used to adjust the running point to MPP. …”
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    Spontaneous Overgrowth of Jointing in the Working Chambers of Power Gas-Liquid Thermal Installations – Diffusion Dynamic Processes by T. V. Ryzhova, D. N. Bukharov, M. M. Arakelian, S. M. Arakelian

    Published 2024-08-01
    “…In the overview aspect, the universal modes of operation of a nonlinear dynamic system, well-known in mathematics and physics and suitable for analyzing the stability and sustainability of thermal power plants, are considered. …”
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    Geohistorical Structural Design Tables for the Building Stones of the Maltese Archipelago by Lino Bianco

    Published 2024-09-01
    “…The testing procedures applied followed the accepted laboratory practice at the time. A retrospective analysis of the contents of this publication reveals that the results contained some mathematical errors. …”
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    An Algorithm for Optimal Allocation of Water Resources in Receiving Areas Based on Adaptive Decreasing Inertia Weights by Fei Li, Guang Zhang, Shaohua Hu

    Published 2022-01-01
    “…It is a time-varying process for the inertia weights and acceleration factors of the standard particle swarm algorithm so that they change nonlinearly with the continuous advancement of the iterative optimization seeking process, thus improving the convergence accuracy and speed of the algorithm and reducing the risk of falling into local optimum solutions at a later stage. …”
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