书目名称 | Global Optimization and Constraint Satisfaction | 副标题 | Second International | 编辑 | Christophe Jermann,Arnold Neumaier,Djamila Sam | 视频video | http://file.papertrans.cn/387/386436/386436.mp4 | 丛书名称 | Lecture Notes in Computer Science | 图书封面 |  | 描述 | Theformulationofmanypracticalproblemsnaturallyinvolvesconstraintsonthe variables entering the mathematical model of a real-life situation to be analyzed. It is of great interest to ?nd the possible scenarios satisfying all constraints, and, iftherearemanyofthem,eitherto?ndthebestsolution,ortoobtainacompact, explicit representation of the whole feasible set. The 2nd Workshop on Global Constrained Optimization and Constraint S- isfaction, COCOS 2003, which took place during November 18–21, 2003 in L- sanne, Switzerland, was dedicated to theoretical, algorithmic, and application oriented advances in answering these questions. Here global optimization refers to ?nding the absolutely best feasible point, while constraint satisfaction refers to?ndingallpossiblefeasiblepoints.AsinCOCOS2002,the?rstsuchworkshop (see the proceeedings [1]), the emphasis was on complete solving techniques for problems involving continuous variables that provide all solutions with full rigor, and on applications which, however, were allowed to have relaxed standards of rigor. The participants used the opportunity to meet experts from global optimi- tion, mathematical programming, constraint programming, and app | 出版日期 | Conference proceedings 2005 | 关键词 | algorithms; calculus; constraint optimization; constraint satisfaction; constraint solving; constraint so | 版次 | 1 | doi | https://doi.org/10.1007/b136292 | isbn_softcover | 978-3-540-26003-5 | isbn_ebook | 978-3-540-32041-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | Springer-Verlag Berlin Heidelberg 2005 |
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