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Titlebook: Computer Algebra in Scientific Computing; 15th International W Vladimir P. Gerdt,Wolfram Koepf,Evgenii V. Vorozht Conference proceedings 20

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樓主: HEM
21#
發(fā)表于 2025-3-25 04:35:36 | 只看該作者
Conference proceedings 2013any, in September 2013. The 33 full papers presented were carefully reviewed and selected for inclusion in this book. .The papers address issues such as polynomial algebra; the solution of tropical linear systems and tropical polynomial systems; the theory of matrices; the use of computer algebra fo
22#
發(fā)表于 2025-3-25 09:47:13 | 只看該作者
23#
發(fā)表于 2025-3-25 13:53:56 | 只看該作者
On Possibility of Additional Solutions of the Degenerate System Near Double Degeneration at the Spet of 4 two-parameter subsets in this 5-parameter space except 1 special hyper plane ..?=?2/3. We wrote down 4 first integrals of motion as functions of the system parameters. Here we have proved that the limitation ..?≠?2/3 can be excluded from the previously obtained solutions. Now we have not found the additional first integrals.
24#
發(fā)表于 2025-3-25 19:46:37 | 只看該作者
On the Dimension of Solution Spaces of Full Rank Linear Differential Systems,n space that occurs while differentiating one of the equations. Basing on this, we show a way to compute the dimension of the solution space of a given full rank system. In addition, we show how the change in the dimension can be used to estimate the number of steps of some algorithms to convert a given full rank system into an appropriate form.
25#
發(fā)表于 2025-3-25 21:33:06 | 只看該作者
26#
發(fā)表于 2025-3-26 02:25:09 | 只看該作者
Faster Sparse Interpolation of Straight-Line Programs,ation .. of ., such that .???.. probably has at most half the number of terms of ., then recurses on the difference .???... Our approach builds on previous work by Garg and Schost (2009), and Giesbrecht and Roche (2011), and is asymptotically more efficient in terms of the total cost of the probes required than previous methods, in many cases.
27#
發(fā)表于 2025-3-26 04:51:44 | 只看該作者
Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-Core Systems only the shared memory multicore computers, but also computers clusters or specialized hardware attached to a host computer, such as graphics processing units or many-core coprocessors. The scalability on the large number of cores is ensured by the lacks of synchronizations, locks and false-sharing during the main parallel step.
28#
發(fā)表于 2025-3-26 12:11:40 | 只看該作者
29#
發(fā)表于 2025-3-26 12:58:16 | 只看該作者
30#
發(fā)表于 2025-3-26 19:41:10 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233414.jpg
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