Download e-book for iPad: Analysis on Graphs and Its Applications by Pavel Exner, Jonathan P. Keating, Visit Amazon's Peter

By Pavel Exner, Jonathan P. Keating, Visit Amazon's Peter Kuchment Page, search results, Learn about Author Central, Peter Kuchment, , Toshikazu Sunada, and Alexander Teplyaev, Alexander Teplyaev

ISBN-10: 0821844717

ISBN-13: 9780821844717

This publication addresses a brand new interdisciplinary zone rising at the border among a number of components of arithmetic, physics, chemistry, nanotechnology, and desktop technological know-how. the point of interest this is on difficulties and strategies on the topic of graphs, quantum graphs, and fractals that parallel these from differential equations, differential geometry, or geometric research. additionally integrated are such diversified subject matters as quantity conception, geometric staff conception, waveguide concept, quantum chaos, quantum cord platforms, carbon nano-structures, metal-insulator transition, machine imaginative and prescient, and communique networks. This quantity features a detailed number of specialist reports at the major instructions in research on graphs (e.g., on discrete geometric research, zeta-functions on graphs, lately rising connections among the geometric team thought and fractals, quantum graphs, quantum chaos on graphs, modeling waveguide structures and modeling quantum graph structures with waveguides, keep watch over concept on graphs), in addition to learn articles.

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Extra info for Analysis on Graphs and Its Applications

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In Proceedings of WebKDD, Chicago, Illinois, 2005. 4. T. Berners-Lee, J. Hendler, and O. Lassila. The semantic Web. Scientific American 279(5):34–43, 2001. 12 INTRODUCTION 5. C. Borgelt and M. R. Berthold. Mining molecular fragments: Finding relevant substructures of molecules. In Proceedings of the IEEE International Conference on Data Mining, Maebashi City, Japan, pp. 51–58 2002. 6. S. Brin and L. Page. The anatomy of a large-scale hypertextual (web) search engine. Computer Network and ISDN Systems 30:107–117, 1998.

Schenker, M. Last, H. Bunke, and A. Kandel. Classification of web documents using graph matching. International Journal of Pattern Recognition and Artificial Intelligence 18(3):475–496, 2004. 12. L. B. Holder and D. J. Cook. Graph-based relational learning: Current and future directions. SIGKDD Explorations, Special Issue on Multirelational Data Mining, 5(1):90–93, 2003. 13. D. Conte, P. Foggia, C. Sansone, and M. Vento. Thirty years of graph matching in pattern recognition. International Journal of Pattern Recognition and Artificial Intelligence, 18(3):265–298, 2004.

REFERENCES 1. Special Section on Graph Algorithms and Computer Vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10):1040–1151, 2001. 2. Special Issue on Graph Based Representations. Pattern Recognition Letters, 24(8): 1033–1122, 2003. 3. Special Issue on Graph Matching in Pattern Recognition and Computer Vision. International Journal of Pattern Recognition and Artificial Intelligence 18(3):261–517, 2004. 4. J. Llad´os and G. S´anchez. Graph matching versus graph parsing in graphics recognition.

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Analysis on Graphs and Its Applications by Pavel Exner, Jonathan P. Keating, Visit Amazon's Peter Kuchment Page, search results, Learn about Author Central, Peter Kuchment, , Toshikazu Sunada, and Alexander Teplyaev, Alexander Teplyaev


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