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Titlebook: Computational Science and Its Applications - ICCSA 2004; International Confer Antonio Laganá,Marina L. Gavrilova,Osvaldo Gervasi Conference

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書目名稱Computational Science and Its Applications - ICCSA 2004
副標(biāo)題International Confer
編輯Antonio Laganá,Marina L. Gavrilova,Osvaldo Gervasi
視頻videohttp://file.papertrans.cn/233/232963/232963.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Science and Its Applications - ICCSA 2004; International Confer Antonio Laganá,Marina L. Gavrilova,Osvaldo Gervasi Conference
描述The natural mission of Computational Science is to tackle all sorts of human problems and to work out intelligent automata aimed at alleviating the b- den of working out suitable tools for solving complex problems. For this reason ComputationalScience,thoughoriginatingfromtheneedtosolvethemostch- lenging problems in science and engineering (computational science is the key player in the ?ght to gain fundamental advances in astronomy, biology, che- stry, environmental science, physics and several other scienti?c and engineering disciplines) is increasingly turning its attention to all ?elds of human activity. In all activities, in fact, intensive computation, information handling, kn- ledge synthesis, the use of ad-hoc devices, etc. increasingly need to be exploited and coordinated regardless of the location of both the users and the (various and heterogeneous) computing platforms. As a result the key to understanding the explosive growth of this discipline lies in two adjectives that more and more appropriately refer to Computational Science and its applications: interoperable and ubiquitous. Numerous examples of ubiquitous and interoperable tools and applicationsaregivenintheprese
出版日期Conference proceedings 2004
關(guān)鍵詞Computer; XML; algorithms; automata; cluster computing; computational mathematics; computational science; c
版次1
doihttps://doi.org/10.1007/b98054
isbn_softcover978-3-540-22060-2
isbn_ebook978-3-540-24768-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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https://doi.org/10.1007/978-1-4613-3918-2olving the second-order differential equation. However, this method caused some difficulties in linearizing and approximating the equation and had some restrictions on using various balancing trajectories. The proposed method in this paper is based on the GA (genetic algorithm) for minimizing the mo
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K. V. Ellis,G. White,A. E. Warn efficient usage of networks has been intensively investigated for the better utilization of network resources. The distributed adaptive routing is the typical routing algorithm that is used in the current Internet. If the parameter we concern is to measure the delay on that link, then the shortest
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