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Titlebook: Ordinary and Partial Differential Equations; Proceedings of the F William N. Everitt,Brian D. Sleeman Conference proceedings 1976 Springer-

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發(fā)表于 2025-3-21 18:38:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ordinary and Partial Differential Equations
副標(biāo)題Proceedings of the F
編輯William N. Everitt,Brian D. Sleeman
視頻videohttp://file.papertrans.cn/704/703697/703697.mp4
叢書名稱Lecture Notes in Mathematics
圖書封面Titlebook: Ordinary and Partial Differential Equations; Proceedings of the F William N. Everitt,Brian D. Sleeman Conference proceedings 1976 Springer-
出版日期Conference proceedings 1976
關(guān)鍵詞Boundary value problem; Differentialgleichung; Equations; Partielle Differentialgleichung; maximum princ
版次1
doihttps://doi.org/10.1007/BFb0087320
isbn_softcover978-3-540-08058-9
isbn_ebook978-3-540-37517-3Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer-Verlag Berlin Heidelberg 1976
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沙發(fā)
發(fā)表于 2025-3-21 22:07:38 | 只看該作者
978-3-540-08058-9Springer-Verlag Berlin Heidelberg 1976
板凳
發(fā)表于 2025-3-22 02:39:08 | 只看該作者
地板
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Lecture Notes in Mathematicshttp://image.papertrans.cn/o/image/703697.jpg
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,Bivariational bounds on 〈g,φ〉 for non-linear problems Fφ=O,r problem Fφ=0 in a real Hilbert space H. They take the form J(Ψ, Φ)±C(Ψ, Φ), where C(Ψ, Φ) is a positive bivariational approximation to zero and . is a bivariational approximation to 〈g,φ〉. The applicability of the bounds is briefly discussed.
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發(fā)表于 2025-3-23 00:13:02 | 只看該作者
using a real data set from the Common Law domain that we subjectively annotated with relevance judgments for this purpose. Our findings reveal that web search diversification techniques outperform other approaches (e.g. summarization-based, graph-based methods) in the context of legal diversificati
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J. M. Ballntific publications for the last four decades were discovered. A comparison on the emotional information with other online user-generated media, including online encyclopedias, web-logs, forums, and micro-blogs, was conducted. Advances in cluster computing are employed to process large scale data, w
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