Showing 1,101 - 1,120 results of 1,374 for search '"Computational mathematics"', query time: 0.17s Refine Results
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    Optimization of energy balances of a photovoltaic power plant with electrochemical and thermal storage of solar energy by B. V. Lukutin, Kadhim Karrar Hameed

    Published 2022-06-01
    “…Analytical methods in the field of construction of consumer energy supply systems from photovoltaic plants, methods of computer-mathematical modeling.RESULTS.The analysis of daily algorithms for the operation of a solar thermal energy supply system was carried out using the example of a social facility in Iraq using electrochemical and thermoelectric energy storage systems, taking into account the variation in the level of solar radiation, ambient temperature and energy consumption by seasons. …”
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    Article
  6. 1106

    Advances in Numerical Data Visualization of Flow around a Square Cylinder by Mario A. Aguirre-López, Filiberto Hueyotl-Zahuantitla, Pedro Martínez-Vázquez

    Published 2023-12-01
    “…The main contributions of the paper relate to the optimization of the computational mesh for the spanwise direction of the wind flow that results from the computational-mathematical framework employed, in addition to a novel visualization technique that unfolds features in the recording data that could otherwise be hidden when using traditional plots. …”
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  7. 1107

    An efficient technique of G′G–expansion method for modified KdV and Burgers equations with variable coefficients by Sanjaya K. Mohanty, Sachin Kumar, Apul N. Dev, Manoj Kr. Deka, Dmitry V. Churikov, Oleg V. Kravchenko

    Published 2022-06-01
    “…With the help of computerized symbolic computation work, the newly formed closed-form solutions are validated by back substituting them into the equations using the computational mathematical software. Furthermore, the graphical representations of all these obtained solutions are discussed and demonstrated by giving the suitable best values of arbitrary functions and constants via three-dimensional surface and density plots. …”
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  8. 1108

    Analytical dependence of the deflection of the spatial truss on the number of panels by M.N. Kirsanov

    Published 2020-06-01
    “…Generalization of these solutions to an arbitrary number of panels is found using special operators of the Maple computer mathematics system. Using the Maple operators, we derive and solve homogeneous linear recurrent equations that satisfy the coefficients of the desired formula. …”
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  9. 1109

    A review of sedimentary forward modeling methods for different sedimentary systems of clastic rock series by Li Wan, Xiu Huang, Zhijie Zhang, Xuanjun Yuan, Xingyu Chen

    Published 2023-05-01
    “…Finally, it looked into the development of the sedimentary forward modeling believed it would be targeted toward the three-dimension visualization, multi-process integration and multi-discipline integration, proposed to strengthen the training of compound talents in computer, mathematics, mechanics and geosciences; strengthened the experimental study on the sedimentary forward modeling hypothesis to study the sedimentation theory; tried multiple simulation methods and shifted the application foremost to the research and development foremost.…”
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  10. 1110

    The use of the cloud services to support the math teachers training by Mariya P. Shyshkina, Maiia V. Marienko

    Published 2020-03-01
    “…Along with the great deal of systems of computer mathematics (SCM), web-oriented versions of SCM mathematical applications and other math learning tools the cloud-based versions of mathematical software such as MapleNet, MATLAB web-server, WebMathematica and others are now being used. …”
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    Automatic refactoring of Fortran applications by Chandrasehar Rajaseharan.

    Published 2012
    “…Conclusively, profiling tests conducted on the implementation of these two techniques in two Fortran applications computing mathematical functions such as derivatives of a function and plotting a linear curve for Millikan experimental data highlight a maximum speedup of 2.99 as the size of the vectors involved in the application increase from 100 to 100000 for the first application and a maximum speedup of 1.73 as the size of the vectors increase from 20000 to 100000 for the second application.…”
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