Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4889)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Heterogeneous object modelling is a new and quickly developing research area. This book is one of the first attempts to systematically cover the most relevant themes and problems of this new and challenging subject area. It is a collection of invited papers and papers co-authored by the editors. Each chapter presents either new research results or a survey on the following topics:
- Formal models and abstractions of heterogeneous objects including geometric, topological, discrete and continuous models, operations forming special algebras and conversions between different model types.
- Data structures and algorithms for representing, modifying and computing with heterogeneous objects. Computational techniques for the design, reconstruction, optimization, analysis and simulation of heterogeneous objects that incorporate information on shape, material and physical behavior using a common framework.
- Applications of heterogeneous object modelling in engineering and scientific areas, including geophysical, biomedical, artistic and multi-material fabrication applications.
Bibliographic Information
Book Title: Heterogeneous Objects Modelling and Applications
Book Subtitle: Collection of Papers on Foundations and Practice
Editors: Alexander Pasko, Valery Adzhiev, Peter Comninos
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-68443-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-68441-1Published: 26 May 2008
eBook ISBN: 978-3-540-68443-5Published: 16 May 2008
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 285
Topics: Theory of Computation, Data Structures, Data Storage Representation, Data Mining and Knowledge Discovery, Simulation and Modeling, Computer Applications