Algorithm Design

Alles über die Implementation von Datenstrukturen und Algorithmen: Die Autoren zeigen Ihnen, dass Sie mehr benötigen als nur theoretisch-algorithmische Kenntnisse, nämlich auch ingenieurtechnische Entwurfsprinzipien: abstrakte Datentypen, objektorientierte Entwurfsmuster und Strategien, die Robustheit und Benutzerfreundlichkeit sichern. Behandelt werden u.a. die schnelle Fourier-Transformation (FFT), Kryptologie, Parallelität und NP-Vollständigkeit.

Autorentext
Michael T. Goodrich is a mathematician and computer scientist. He is a Chancellor's Professor and the chair of Department of Computer Science, of Donald Bren School of Information and Computer Sciences, a school of University of California, Irvine. Roberto Tamassia is the author of Algorithm Design: Foundations, Analysis, and Internet Examples, published by Wiley.

Zusammenfassung
Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective.

Inhalt
PART I: FUNDAMENTAL TOOLS. Algorithm Analysis. Basic Data Structures. Search Trees and Skip Lists. Sorting, Sets, and Selection. Fundamental Techniques. PART II: GRAPH ALGORITHMS. Graphs. Weighted Graphs. Network Flow and Matching. PART III: INTERNET ALGORITHMICS. Text Processing. Number Theory and Cryptograhy. Network Algorithms. PART IV: ADDITIONAL TOPICS. Computational Geometry. NP-Completeness. Algorithmic Frameworks. Appendix: Useful Mathematical Facts. Bibliography. Index.

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