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内容提要:
The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS including its subseries LNAI spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material published traditionally includes. —proceedings (published in time for the respective conference) —post-proceedings (consisting of thoroughly revised final full papers) —research monographs(which may be based on outstanding PhD work,research projects,technical reports,etc.). 目录:
Part Ⅰ
Invited Speakers Architecture-Specific Automatic Performance Tuning Climate Modeling Global Computing-Internals and Usage Collaborative Computing Complex Physical System Simulation Computational Chemistry Computational Finance Computational Geometry and Applications Computational Methods Computational Models of Natural Language Arguments Computational Physics in the Undergraduate Curriculum Computational Science Applications and Case Studies Computational Science Education:Standards,Learning Outcomes and Assenssment Techniques High Performance and Parallel Computing in Manufacturing and Testing Environments Monte Carlo Numerical Methods Author Index Part Ⅱ Digital Imaging Appications Environmental Modeling High Performance Computational Tools and Environments Intelligent Systems Design and Applications Multimedia Multi-spectral Scene Generation and Projection Novel Models for Parallel Computation Optimization Program and Visualization Tools and Environments for Parallel and Distributed Programming Simulation Soft Computing:Systems and Applications Phylogenetic Inference for Genome Rearrangement Data Late Submissions Advances in Molecular Agorithms Author Index |