壕沟
发表于 2025-3-26 21:32:12
Siegfried Großmannded for researchers who must approximate solutionsto problems that cannot be solved analytically. It is also appropriatefor students taking courses in numerical approximation techniques. .978-1-4899-9159-1978-1-4419-9837-8
陶醉
发表于 2025-3-27 04:54:15
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Chromatic
发表于 2025-3-27 05:32:27
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豪华
发表于 2025-3-27 10:02:19
Siegfried Großmannnd topics in optimization and approximation relevant to machine learning. Ultimately, it seeks to clarify issues in numerical analysis in the context of applications, and presenting accessible methods to students in mathematics and data science. .978-3-031-08123-1978-3-031-08121-7Series ISSN 2730-650X Series E-ISSN 2730-6518
Resign
发表于 2025-3-27 16:55:44
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ABIDE
发表于 2025-3-27 17:49:08
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plasma
发表于 2025-3-28 00:34:04
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表脸
发表于 2025-3-28 03:10:52
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懒洋洋
发表于 2025-3-28 06:26:32
to the mesh size, we need to use appropriate preconditioning strategies. For this we describe and analyze first a quite general approach which is based on the use of operators of the opposite order, and give later two examples for both finite and boundary element methods. For a more detailed theory
Verify
发表于 2025-3-28 12:27:02
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