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Titlebook: Advanced Computing in Industrial Mathematics; 12th Annual Meeting Krassimir Georgiev,Michail Todorov,Ivan Georgiev Book 2019 Springer Natu

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樓主: 積聚
41#
發(fā)表于 2025-3-28 15:14:38 | 只看該作者
https://doi.org/10.1007/978-3-642-68426-5n in the form of a recursive filter and the use of the DSP48A1 digital signal processing unit, embedded in the Xilinx Spartan 6 FPGA series, guarantee minimal logical resources. An estimation of the speed and dynamic range of the device is provided.
42#
發(fā)表于 2025-3-28 20:22:07 | 只看該作者
Formation of the Hydrolysis Derivatives,of an equation of this class (namely the equation that contains polynomial nonlinearity of fourth order). We use the equation of Bernoulli as a simplest equation and obtain traveling wave solution of a kink kind for the studied nonlinear reaction-diffusion equation.
43#
發(fā)表于 2025-3-29 01:43:08 | 只看該作者
The Benzodiazepines: A Clinical Review,atural disasters. One of the reasons is the adoption of the hashtag, which represents a short word or phrase that follows the hash sign (.). These semantic elements captured the topics behind the tweets and allowed the information flow to bypass traditional social network structure. The hashtags pro
44#
發(fā)表于 2025-3-29 03:04:05 | 只看該作者
Pharmacokinetics of the Benzodiazepines, .(.) is a polynomial matrix belonging to the Lie algebra .(2,?.) obeying some constraints. The analysis is carried out by using the nilpotent elements of .(2,?.) and Lie algebraic techniques. The solution is presented in the form of finite product of exponentials.
45#
發(fā)表于 2025-3-29 07:57:13 | 只看該作者
46#
發(fā)表于 2025-3-29 11:25:52 | 只看該作者
47#
發(fā)表于 2025-3-29 16:47:24 | 只看該作者
978-3-030-07329-9Springer Nature Switzerland AG 2019
48#
發(fā)表于 2025-3-29 21:50:00 | 只看該作者
49#
發(fā)表于 2025-3-30 01:54:50 | 只看該作者
Book 2019cus on: high-performance computing, numerical methods and algorithms, analysis of partial differential equations and their applications, mathematical biology, control and uncertain systems, stochastic models, molecular dynamics, neural networks, genetic algorithms, metaheuristics for optimization problems, generalized nets, and Big Data..
50#
發(fā)表于 2025-3-30 04:19:08 | 只看該作者
A. Gerken,F. Holsboer,O. Benkertel. The newly obtained model is with lower multicollinearity, and it tends to give better out-of-sample error while recalculated with additional observations. The proposed method is tested on a real accounting data concerning the Bulgarian gas utilities.
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