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A Compact Eulerian Interface–Capturing Algorithm for Compressible Multimaterial Elastic–Plastic Flows with Mie–Gr ¨uneisen Equation of State 基于Mie-Gr¨uneisen状态方程的可压缩多材料弹塑性流的紧凑欧拉界面捕获算法
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2023-01-01 DOI: 10.4208/aamm.oa-2021-0019
Xiang Li, D. Ma, Nan-Sheng Liu null, Pei Wang
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引用次数: 0
A Total Variation Based Method for Multivariate Time Series Segmentation 一种基于全变分的多元时间序列分割方法
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2023-01-01 DOI: 10.4208/aamm.oa-2021-0209
Min Li, Yumei Huang null, Y. Wen
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引用次数: 1
An SAV Method for Imaginary Time Gradient Flow Model in Density Functional Theory 密度泛函理论中虚时间梯度流模型的SAV方法
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2023-01-01 DOI: 10.4208/aamm.oa-2021-0363
Tingxiu Wang, Jie Zhou null, G. Hu
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引用次数: 1
A Scale-Invariant Fifth Order WCNS Scheme for Hyperbolic Conservation Laws 双曲守恒律的一个尺度不变的五阶WCNS格式
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-12-01 DOI: 10.4208/aamm.oa-2022-0196
Zixuan Zhang, Yidao Dong, Huaibao Zhang, Shichao Deng
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引用次数: 0
Arbitrarily High-Order Energy-Preserving Schemes for the Camassa-Holm Equation Based on the Quadratic Auxiliary Variable Approach 基于二次辅助变量法的Camassa-Holm方程任意高阶保能格式
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-12-01 DOI: 10.4208/aamm.oa-2022-0188
Yuezheng Gong, Qi Hong, Chunwu Wang and Yushun Wang
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引用次数: 1
Influence of the Radial Inertia Effect on the Propagation Law of Stress Waves in Thin-Walled Tubes 径向惯性效应对薄壁管中应力波传播规律的影响
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-12-01 DOI: 10.4208/aamm.oa-2022-0247
Shitang Zhang
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引用次数: 0
Numerical Simulations of the Richtmyer–Meshkov Instability of Solid-Vacuum Interface 固体-真空界面Richtmyer–Meshkov不稳定性的数值模拟
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-11-01 DOI: 10.4208/aamm.oa-2022-0282
X. Liu, Zhiye Zhao, Nansheng Liu and Xiyun Lu
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引用次数: 0
A Self-Adaptive Algorithm of the Clean Numerical Simulation (CNS) for Chaos 混沌洁净数值模拟(CNS)的自适应算法
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-11-01 DOI: 10.4208/aamm.OA-2022-0340
Shijie Qin, S. Liao
The background numerical noise $varepsilon_{0} $ is determined by the maximum of truncation error and round-off error. For a chaotic system, the numerical error $varepsilon(t)$ grows exponentially, say, $varepsilon(t) = varepsilon_{0} exp(kappa,t)$, where $kappa>0$ is the so-called noise-growing exponent. This is the reason why one can not gain a convergent simulation of chaotic systems in a long enough interval of time by means of traditional algorithms in double precision, since the background numerical noise $varepsilon_{0}$ might stop decreasing because of the use of double precision. This restriction can be overcome by means of the clean numerical simulation (CNS), which can decrease the background numerical noise $varepsilon_{0}$ to any required tiny level. A lot of successful applications show the novelty and validity of the CNS. In this paper, we further propose some strategies to greatly increase the computational efficiency of the CNS algorithms for chaotic dynamical systems. It is highly suggested to keep a balance between truncation error and round-off error and besides to progressively enlarge the background numerical noise $varepsilon_{0}$, since the exponentially increasing numerical noise $varepsilon(t)$ is much larger than it. Some examples are given to illustrate the validity of our strategies for the CNS.
背景数值噪声$varepsilon_{0} $由截断误差和舍入误差的最大值决定。对于一个混沌系统,数值误差$varepsilon(t)$呈指数增长,比如$varepsilon(t) = varepsilon_{0} exp(kappa,t)$,其中$kappa>0$是所谓的噪声增长指数。这就是传统的双精度算法不能在足够长的时间间隔内得到混沌系统的收敛模拟的原因,因为使用双精度可能会使背景数值噪声$varepsilon_{0}$停止下降。这一限制可以通过洁净数值模拟(CNS)的手段来克服,它可以将背景数值噪声$varepsilon_{0}$降低到任何所需的微小水平。大量成功的应用表明了该系统的新颖性和有效性。在本文中,我们进一步提出了一些策略,以大大提高混沌动力系统的CNS算法的计算效率。强烈建议在截断误差和舍入误差之间保持平衡,并逐步扩大背景数值噪声$varepsilon_{0}$,因为指数增长的数值噪声$varepsilon(t)$比它大得多。举例说明了我们的策略对中枢神经系统的有效性。
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引用次数: 0
A Reconstructed Discontinuous Approximation to Monge-Ampère Equation in Least Square Formulation Monge-Ampère方程的最小二乘重构间断逼近
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-10-01 DOI: 10.4208/aamm.oa-2022-0047
Ruo Li and Fanyi Yang
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引用次数: 0
Avoiding Small Denominator Problems by Means of the Homotopy Analysis Method 用同伦分析法避免小分母问题
IF 1.4 4区 工程技术 Q2 MATHEMATICS, APPLIED Pub Date : 2022-08-03 DOI: 10.4208/aamm.OA-2022-0260
S. Liao
The so-called ``small denominator problem'' was a fundamental problem of dynamics, as pointed out by Poincar'{e}. Small denominators appear most commonly in perturbative theory. The Duffing equation is the simplest example of a non-integrable system exhibiting all problems due to small denominators. In this paper, using the forced Duffing equation as an example, we illustrate that the famous ``small denominator problems'' never appear if a non-perturbative approach based on the homotopy analysis method (HAM), namely ``the method of directly defining inverse mapping'' (MDDiM), is used. The HAM-based MDDiM provides us great freedom to directly define the inverse operator of an undetermined linear operator so that all small denominators can be completely avoided and besides the convergent series of multiple limit-cycles of the forced Duffing equation with high nonlinearity are successfully obtained. So, from the viewpoint of the HAM, the famous ``small denominator problems'' are only artifacts of perturbation methods. Therefore, completely abandoning perturbation methods but using the HAM-based MDDiM, one would be never troubled by ``small denominators''. The HAM-based MDDiM has general meanings in mathematics and thus can be used to attack many open problems related to the so-called ``small denominators''.
所谓的“小分母问题”是动力学的一个基本问题,正如庞加莱所指出的那样。小分母在微扰理论中最常见。Duffing方程是非可积系统中最简单的例子,它展示了由于小分母而引起的所有问题。本文以强迫Duffing方程为例,说明了如果采用基于同伦分析方法(HAM)的非摄动方法,即直接定义逆映射方法(MDDiM),则不会出现著名的“小分母问题”。基于hamm的MDDiM为直接定义一个未定线性算子的逆算子提供了很大的自由度,从而完全避免了所有的小分母,并成功地获得了具有高非线性的强迫Duffing方程的多个极限环的收敛级数。因此,从HAM的观点来看,著名的“小分母问题”只是摄动方法的产物。因此,完全放弃摄动方法而使用基于ham的MDDiM,就不会被“小分母”所困扰。基于ham的MDDiM在数学中具有一般意义,因此可用于解决与所谓的“小分母”相关的许多开放问题。
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引用次数: 2
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