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Titlebook: Computational Science and Its Applications - ICCSA 2014; 14th International C Beniamino Murgante,Sanjay Misra,Osvaldo Gervasi Conference pr

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書目名稱Computational Science and Its Applications - ICCSA 2014
副標題14th International C
編輯Beniamino Murgante,Sanjay Misra,Osvaldo Gervasi
視頻videohttp://file.papertrans.cn/233/232992/232992.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Science and Its Applications - ICCSA 2014; 14th International C Beniamino Murgante,Sanjay Misra,Osvaldo Gervasi Conference pr
描述The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimar?es, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.
出版日期Conference proceedings 2014
關(guān)鍵詞cloud computing; fuzzy logic; graph theory; linear programming; machine learning; mobile computing; model
版次1
doihttps://doi.org/10.1007/978-3-319-09129-7
isbn_softcover978-3-319-09128-0
isbn_ebook978-3-319-09129-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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IMRT Beam Angle Optimization Using Non-descent Pattern Search Methods of non-increasing iterates such that iterate progression is solely based on a finite number of function evaluations in each iteration, without explicit or implicit use of derivatives. Typically, in IMRT optimization, the quality of the solutions obtained is not simply related to the final value of
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IMRT Beam Angle Optimization Using DDS with a Cross-Validation Approach for Configuration Selectionlinical outcome. In clinical practice, the angles are usually chosen after a lengthy trial and error procedure that is significantly dependent on the planner’s experience and time availability. The use of optimization models and algorithms can be an important contribution to the treatment planning,
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Maximizing Expectation on Vertex-Disjoint Cycle Packingr arcs are subject to failure with a known probability. This method has an immediate practical application: it can be used for the solution of a kidney exchange program in the common situation where the underlying graph is unreliable. Results for realistic benchmark instances are reported and analyz
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