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Titlebook: Numerical Computations: Theory and Algorithms; Third International Yaroslav D. Sergeyev,Dmitri E. Kvasov Conference proceedings 2020 Sprin

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41#
發(fā)表于 2025-3-28 14:42:43 | 只看該作者
978-3-030-39080-8Springer Nature Switzerland AG 2020
42#
發(fā)表于 2025-3-28 20:51:46 | 只看該作者
Numerical Computations: Theory and Algorithms978-3-030-39081-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
43#
發(fā)表于 2025-3-29 00:24:43 | 只看該作者
44#
發(fā)表于 2025-3-29 05:12:07 | 只看該作者
45#
發(fā)表于 2025-3-29 11:17:07 | 只看該作者
An SVE Approach for the Numerical Solution of Ordinary Differential Equationss problem is gradually reduced at each step. The global error is approximated by using the system of the singular functions in the aforementioned SVE..Some experiments are used to show the performances of the proposed numerical method.
46#
發(fā)表于 2025-3-29 15:24:59 | 只看該作者
Conference proceedings 2020oximation: methods, algorithms, and applications; computational methods for data analysis; first order methods in optimization: theory and applications; high performance computing in modelling and simulation; numbers, algorithms, and applications; optimization and management of water supply..
47#
發(fā)表于 2025-3-29 19:27:13 | 只看該作者
0302-9743 : Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019.?.This volume, LNCS 11973, consists of 34 full and 18 short papers chosen among papers presented at special streams and sessions of the Conference. The papers in part I were organized following the topics of these special sess
48#
發(fā)表于 2025-3-29 22:21:43 | 只看該作者
Towards an Efficient Implementation of?an Accurate SPH Methoduning the desired accuracy in the SPH method. This technique, coupled with an algorithmic design for exploiting the performance of Graphics Processing Units (GPUs), makes the method promising, as shown by numerical experiments.
49#
發(fā)表于 2025-3-30 02:30:24 | 只看該作者
50#
發(fā)表于 2025-3-30 06:51:59 | 只看該作者
An Adaptive Refinement Scheme for Radial Basis Function Collocation evaluated on a coarser set and a finer one. This estimate allows us to detect the domain parts that need to be refined by adding points in the selected areas. Numerical results support our study and point out the effectiveness of our algorithm.
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