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Titlebook: Mathematics in Politics and Governance; Francisco J. Aragón-Artacho,Miguel A. Goberna Book 2024 The Editor(s) (if applicable) and The Auth

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樓主: otitis-externa
21#
發(fā)表于 2025-3-25 04:12:56 | 只看該作者
22#
發(fā)表于 2025-3-25 10:27:26 | 只看該作者
Book 2024rtation, and national defense for their citizens.? The selection of topics addressed is based on the experiences of four veteran politicians who have doctorates or master’s degrees in mathematics. The exposition also considers the mathematical tools used by politicians to capture votes or optimize t
23#
發(fā)表于 2025-3-25 11:53:55 | 只看該作者
..,.,. Given its frequency, it is somewhat surprising that little has been written outside the Scandinavian literature regarding its epidemiologic features..,819,.,.,.,.,. By the same token, the Scandinavian studies have provided us a relatively clear understanding of a number of features of the dis
24#
發(fā)表于 2025-3-25 17:46:02 | 只看該作者
Giuseppe Mussardorst sehr jungen Datums. Aber auch nachdem die Metallkristalle als solche bekannt waren, nahm selbst die Wissenschaft lange Zeit wenig oder gar keine Notiz von ihnen. Zwar verfügte man in der Mineralogie schon seit langem über Untersuchungsverfahren für ~stalle, die aber auf die meistens sehr viel gr
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發(fā)表于 2025-3-25 21:29:46 | 只看該作者
26#
發(fā)表于 2025-3-26 02:30:27 | 只看該作者
The Giant Component in a Random Subgraph of a Given Graphritical value . (as a function of .) for which a giant component emerges. Suppose . satisfies some (mild) conditions depending on its spectral gap and higher moments of its degree sequence. We define the second order average degree . to be . where .. denotes the degree of .. We prove that for any .>
27#
發(fā)表于 2025-3-26 07:25:10 | 只看該作者
28#
發(fā)表于 2025-3-26 10:10:09 | 只看該作者
29#
發(fā)表于 2025-3-26 14:02:28 | 只看該作者
Application of Feature Engineering with Classification Techniques to Enhance Corporate Tax Default Detection Performanceg. In this work, we gathered a Finnish tax default data of different firms and then split it according to primary and transformed feature sets. Different feature selection techniques were used to explore significant feature sets. After that, we applied various classification techniques into primary
30#
發(fā)表于 2025-3-26 17:36:19 | 只看該作者
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