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Titlebook: Ramanujan‘s Lost Notebook; Part III George E. Andrews,Bruce C. Berndt Book 2012 Springer Science+Business Media New York 2012 Ramanujan tau

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31#
發(fā)表于 2025-3-27 00:57:39 | 只看該作者
George E. Andrews,Bruce C. BerndtThird volume of a series of five volumes including some of Ramanujan‘s deepest work in the last year of his life.Contains material of which mathematicians currently lack a complete understanding.Focus
32#
發(fā)表于 2025-3-27 01:32:47 | 只看該作者
Introduction,ipt on the partition and tau-functions, and identities for the Rogers-Ramanujan functions are briefly discussed. Several mathematicians, whose collaborations and contributions to our volume are extremely important, are acknowledged and thanked.
33#
發(fā)表于 2025-3-27 09:20:09 | 只看該作者
34#
發(fā)表于 2025-3-27 11:17:49 | 只看該作者
https://doi.org/10.1007/978-1-4614-3810-6Ramanujan tau-Function; Rogers–Ramanujan functions; highly composite numbers; ordinary partition functi
35#
發(fā)表于 2025-3-27 16:00:35 | 只看該作者
Einleitung, Zusammenhang mit einer station?ren jugendpsychiatrischen Behandlung und in ihrer Vermittlung durch das prim?rsozialisatorische Milieu der Familie. Ziel der rekonstruktionsmethodologisch fundierten Untersuchung ist ein adoleszenz- und sozialisationstheoretisch relevanter Beitrag zu psychiatrisch ver
36#
發(fā)表于 2025-3-27 20:17:50 | 只看該作者
Current Challenges and Risks for Preservation of the Historic Center of SalvadorAN, the tutelage of the federal preservation agency over the area has progressively expanded. Today, the architectural, urban and landscape complexes of the Historic Center of Salvador and Lower Town, contiguous and protected by IPHAN, cover an area of more than 80 hectares, containing tens of thous
37#
發(fā)表于 2025-3-27 23:25:47 | 只看該作者
38#
發(fā)表于 2025-3-28 04:29:24 | 只看該作者
39#
發(fā)表于 2025-3-28 08:33:06 | 只看該作者
Sentence Dependent-Aware Network for Aspect-Category Sentiment Analysisiment words and corresponding aspect categories, and avoid introducing redundant information from the original dependency tree. On this basis, we propose a Sentence Dependent-Aware Network (SDAN) to encode the tree effectively. The experimental results of applying SDAN to three public datasets demonstrate its effectiveness.
40#
發(fā)表于 2025-3-28 12:29:35 | 只看該作者
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