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Advances in continuous and discrete models最新文献

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The inhomogeneous p-Laplacian equation with Neumann boundary conditions in the limit p→∞documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} 极限p中具有Neumann边界条件的非齐次p-拉普拉斯方程→∞documentclass[12pt]｛minimal｝ usepackage｛amsmath｝ use package｛｛wasysym｝usepackage{amsfonts} usepackage{amssymb｝ userpackage{amsbsy｝usepackage｛mathrsfs｝ user package{upgeek｝setlength｛doddsidemargin｝｛-69pt｝
Advances in continuous and discrete models Pub Date : 2021-12-14 DOI: 10.1186/s13662-023-03754-8
Leon Bungert
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引用次数: 1
A second-order low-regularity integrator for the nonlinear Schrödinger equation 非线性Schrödinger方程的二阶低正则积分器
Advances in continuous and discrete models Pub Date : 2021-09-02 DOI: 10.1186/s13662-022-03695-8
A. Ostermann, Yifei Wu, Fangyan Yao
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引用次数: 8
Path classification by stochastic linear recurrent neural networks 随机线性递归神经网络的路径分类
Advances in continuous and discrete models Pub Date : 2021-08-06 DOI: 10.1186/s13662-022-03686-9
Y. Boutaib, Wiebke Bartolomaeus, Sandra Nestler, H. Rauhut
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引用次数: 1
Operator compression with deep neural networks 算子压缩与深度神经网络
Advances in continuous and discrete models Pub Date : 2021-05-25 DOI: 10.1186/s13662-022-03702-y
Fabian Kröpfl, R. Maier, D. Peterseim
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引用次数: 9
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