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Numerical Mathematics: Theory, Methods and Applications最新文献

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Penalized Schemes for Hamilton-Jacobi-Bellman Quasi-Variational Inequalities Arising in Regime Switching Utility Maximization with Optimal Stopping 最优停止的时态切换效用最大化中出现的汉密尔顿-雅各比-贝尔曼准变量不等式的惩罚性方案
Pub Date : 2024-04-01 DOI: 10.4208/nmtma.oa-2023-0094
Jingtang Ma, Jianjun Ma and Haofei Wu
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引用次数: 0
A Fast Compact Block-Centered Finite Difference Method on Graded Meshes for Time-Fractional Reaction-Diffusion Equations and Its Robust Analysis 分级网格上用于时分数反应-扩散方程的快速紧凑块中心有限差分法及其鲁棒性分析
Pub Date : 2024-04-01 DOI: 10.4208/nmtma.oa-2023-0108
Li Ma, Hongfei Fu, Bingyin Zhang and Shusen Xie
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引用次数: 0
Fusing Infrared and Visible Images via a First-Order Model 通过一阶模型融合红外图像和可见光图像
Pub Date : 2024-03-01 DOI: 10.4208/nmtma.oa-2023-0091
Wenli Yang, Zhongyi Huang and Wei Zhu
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引用次数: 0
An Accurate Numerical Scheme for Mean-Field Forward and Backward SDEs with Jumps 带跳跃的均场前向和后向自变量的精确数值方案
Pub Date : 2024-01-01 DOI: 10.4208/nmtma.oa-2023-0048
Yabing Sun, Jie Yang and Weidong Zhao
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引用次数: 0
Multidomain Hybrid Direct DG and Central Difference Methods for Viscous Terms in Hyperbolic-Parabolic Equations 双曲-抛物方程中粘性项的多域混合直接 DG 和中心差分法
Pub Date : 2024-01-01 DOI: 10.4208/nmtma.oa-2023-0088
Weixiong Yuan, Tiegang Liu, Bin Zhang, Kui Cao and Kun Wang
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引用次数: 0
Divergence-Free Virtual Element Method for the Stokes Equations with Damping on Polygonal Meshes 多边形网格上带阻尼斯托克斯方程的无发散虚拟元素法
Pub Date : 2024-01-01 DOI: 10.4208/nmtma.oa-2023-0071
Yu Xiong, Yanping Chen, Jianwei Zhou and Qin Liang
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引用次数: 0
Novel Partitioned Time-Stepping Algorithms for Fast Computation of Random Interface-Coupled Problems with Uncertain Parameters 用于快速计算参数不确定的随机接口耦合问题的新型分区时间步进算法
Pub Date : 2024-01-01 DOI: 10.4208/nmtma.oa-2023-0109
Yizhong Sun, Jiangshan Wang and Haibiao Zheng
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引用次数: 0
Energy-Preserving Parareal-RKN Algorithms for Hamiltonian Systems 哈密尔顿系统的保能 Parareal-RKN 算法
Pub Date : 2023-12-01 DOI: 10.4208/nmtma.oa-2023-0081
Zhen Miao, Bin Wang and Yaolin Jiang
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引用次数: 0
On Polar Decomposition of Tensors with Einstein Product and a Novel Iterative Parametric Method 论带有爱因斯坦积的张量极性分解和一种新颖的迭代参数法
Pub Date : 2023-12-01 DOI: 10.4208/nmtma.oa-2023-0065
R. Erfanifar, Masoud Hajarian and Khosro Sayevand
. This study aims to investigate the polar decomposition of tensors with the Einstein product for the first time. The polar decomposition of tensors can be computed using the singular value decomposition of the tensors with the Einstein product. In the following, some iterative methods for finding the polar decomposition of matrices have been developed into iterative methods to compute the polar decomposition of tensors. Then, we propose a novel parametric iterative method to find the polar decomposition of tensors. Under the obtained conditions, we prove that the proposed parametric method has the order of convergence four. In every iteration of the proposed method, only four Einstein products are required, while other iterative methods need to calculate multiple Einstein products and one tensor inversion in each iteration. Thus, the new method is superior in terms of efficiency index. Finally, the numerical comparisons performed among several well-known methods, show that the proposed method is remarkably efficient and accurate.
.本研究旨在首次研究具有爱因斯坦积的张量的极性分解。张量的极性分解可以利用张量的爱因斯坦积奇异值分解来计算。下面,我们将一些求矩阵极性分解的迭代方法发展为计算张量极性分解的迭代方法。然后,我们提出了一种新颖的参数迭代法来求张量的极性分解。在所获得的条件下,我们证明了所提出的参数方法具有四阶收敛性。在拟议方法的每次迭代中,只需要四个爱因斯坦积,而其他迭代方法每次迭代需要计算多个爱因斯坦积和一次张量反演。因此,新方法在效率指数方面更胜一筹。最后,对几种著名方法进行的数值比较表明,所提出的方法具有显著的高效性和准确性。
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引用次数: 0
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Numerical Mathematics: Theory, Methods and Applications
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