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Titlebook: Innovative Computing and Information; International Confer Minli Dai Conference proceedings 2011 Springer-Verlag GmbH Berlin Heidelberg 201

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21#
發(fā)表于 2025-3-25 07:07:51 | 只看該作者
Research on Coal Mine Safety Accident Based on Grey Relational Analysis,asy and applicable and the results it draws are convincible, which provide both theoretical references for the quantitative study of coal mine safety accident and scientific basis for the decision-makings concerning coal mine enterprises’ safety management.
22#
發(fā)表于 2025-3-25 10:09:45 | 只看該作者
E-V Utility Function and Its Application in Shanghai Securities Market,me, it does a demonstrative research on the problem of risk attitude in Shanghai Securities Market through E-V utility function. Finally, we draw the conclusions that the investors intend to take risk at the end of Bull Market and avert risk at the end of Bear Market.
23#
發(fā)表于 2025-3-25 15:20:36 | 只看該作者
1865-0929 011.The papers are organized in two volumes on Innovative Computing and Information (CCIS 231 and 232), two volumes on Computing and Intelligent Systems (CCIS 233 and 234), and in two volumes on Information and Management Engineering (CCIS 235 and 236).978-3-642-23992-2978-3-642-23993-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
24#
發(fā)表于 2025-3-25 17:47:32 | 只看該作者
25#
發(fā)表于 2025-3-25 23:00:26 | 只看該作者
26#
發(fā)表于 2025-3-26 03:23:57 | 只看該作者
27#
發(fā)表于 2025-3-26 06:07:54 | 只看該作者
28#
發(fā)表于 2025-3-26 10:47:31 | 只看該作者
The Analysis of the Safety Defects Based on ASP.NET,ecurity policy configuration. As Intemet application developers, we should recognize that ASP.NET applications use a lot of users, a number of potential uses and a variety of different security requirements, so the application process to ensure the appropriate use of defense mechanisms, it also To ensure efficiency.
29#
發(fā)表于 2025-3-26 13:46:42 | 只看該作者
30#
發(fā)表于 2025-3-26 18:45:36 | 只看該作者
,Bender’s Algorithm for Facility Location Problem with Uncertain Demand,ministic problem and a programming model with several scenarios for uncertain demand problem. The problem in its general form is quite complex. A modified Benders decomposition algorithm as a solution method, the computational speed and convergence of algorithm are tested on a set of problems with randomly generated data.
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