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Titlebook: Large-Scale Scientific Computing; 13th International C Ivan Lirkov,Svetozar Margenov Conference proceedings 2022 Springer Nature Switzerlan

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書目名稱Large-Scale Scientific Computing
副標(biāo)題13th International C
編輯Ivan Lirkov,Svetozar Margenov
視頻videohttp://file.papertrans.cn/582/581418/581418.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Large-Scale Scientific Computing; 13th International C Ivan Lirkov,Svetozar Margenov Conference proceedings 2022 Springer Nature Switzerlan
描述This book constitutes revised selected papers from the 13th International Conference on Large-Scale Scientific Computing, LSSC 23021, which was held in Sozopol, Bulgaria, during June 7-11, 2021.?.The 60 papers included in this book were carefully reviewed and selected from a total of 73 submissions. The volume also includes two invited talks in full paper length. The papers were organized in topical sections as follows: Fractional diffusion problems: numerical methods, algorithms and applications; large-scale models: numerical methods, parallel computations and applications; application of metaheuristics to large-scale problems; advanced discretizations and solvers for coupled systems of partial differential equations; optimal control of ODEs, PDEs and applications; tensor and matrix factorization for big-data analysis; machine learning and model order reduction for large scale predictive simulations; HPC and big data: algorithms and applications; and contributed papers..
出版日期Conference proceedings 2022
關(guān)鍵詞Computations on matrices; computer networks; correlation analysis; Differential equations; Discrete opti
版次1
doihttps://doi.org/10.1007/978-3-030-97549-4
isbn_softcover978-3-030-97548-7
isbn_ebook978-3-030-97549-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Constructions of Second Order Approximations of the Caputo Fractional Derivativef the parameters of the approximations is used. The experimental results of applications of the approximations for numerical solution of the two-term ordinary fractional differential equation are given in the paper.
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On the?Consistency Order of?Runge–Kutta Methods Combined with?Active Richardson Extrapolationf the differential equation to be solved yields convergence of order . if the method is consistent in order .. In this paper it is shown that the active Richardson extrapolation increases the order of consistency by one when the underlying method is any Runge–Kutta method of order ., or 3.
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0302-9743 was held in Sozopol, Bulgaria, during June 7-11, 2021.?.The 60 papers included in this book were carefully reviewed and selected from a total of 73 submissions. The volume also includes two invited talks in full paper length. The papers were organized in topical sections as follows: Fractional diffu
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Parameter Identification Approach for a Fractional Dynamics Model of Honeybee Populationpopulation dynamics. We study numerically the inverse problem of parameter identification in a model with Caputo differential operator. We use a gradient method of minimizing a quadratic cost functional. Numerical tests with realistic data are performed and discussed.
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