《Python算法教程》——2.8 参考资料

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    本节书摘来自异步社区《Python算法教程》一书中的第2章,第2.8节,作者[挪威]Magnus Lie Hetland(赫特兰), 凌杰 译,更多章节内容可以访问云栖社区“异步社区”公众号查看。

    2.8 参考资料

    Acton, F. S. (2005). Real Computing Made Real: Preventing Errors in Scientific and Engineering Calculations. Dover Publications, Inc.Bang-Jensen, J. and Gutin, G. (2002). Digraphs: Theory, Algorithms and Applications. Springer.Bast, H. and Weber, I. (2005). Don’t compare averages. In Nikoletseas, S. E., editor, WEA, volume 3503 of Lecture Notes in Computer Science, pages 67–76. Springer.Bondy, J. A. and Murty, U. S. R. (2008). Graph Theory . Springer.Brandstädt, A., Le, V. B., and Spinrad, J. P. (1999). Graph Classes: A Survey. SIAM Monographs on Discrete Mathematics and Applications. Society for Industrial and Applied Mathematics.Citron, D., Hurani, A., and Gnadrey, A. (2006). The harmonic or geometric mean: Does it really matter? ACM SIGARCH Computer Architecture News, 34(4):18–25.Diestel, R. (2005). Graph Theory , third edition. Springer.Fleming, P. J. and Wallace, J. J. (1986). How not to lie with statistics: The correct way to summarize benchmark results. Commun. ACM, 29(3):218–221.Goldberg, D. (1991). What every computer scientist should know about floating-point arithmetic. ACM Computing Surveys (CSUR), 23(1):5–48. http://docs.sun.com/source/806-3568/ncg_goldberg.html. Hromkovič, J. (2009). Algorithmic Adventures: From Knowledge to Magic. Springer.Knuth, D. E. (1976). Big Omicron and big Omega and big Theta. ACM SIGACT News, 8(2):18–24.Lewis, H. R. and Papadimitriou, C. H. (1998). Elements of the Theory of Computation , second edition. Prentice Hall, Inc.Martelli, A., Ravenscroft, A., and Ascher, D., editors (2005). Python Cookbook , second edition. O’Reilly & Associates, Inc.Massart, D. L., Smeyers-Verbeke, J., Capron, X., and Schlesier, K. (2005). Visual presentation of data by means of box plots. LCGC Europe , 18:215–218.McGeoch, C., Sanders, P., Fleischer, R., Cohen, P. R., and Precup, D. (2002). Using finite experiments to study asymptotic performance. Lecture Notes in Computer Science , 2547:94–126.Moret, B. M. E. (2002). Towards a discipline of experimental algorithmics. In Data Structures, Near Neighbor Searches, and Methodology: Fifth and Sixth DIMACS Implementation Challenges, volume 59 of DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, pages 197–214. Americal American Mathematical Society.Petzold, C. (2008). The Annotated Turing: A Guided Tour Through Alan Turing’s Historic Paper on Computability and the Turing Machine. Wiley Publishing, Inc.Salzberg, S. (1997). On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery , 1(3):317–328.Sanders, P. (2002). Presenting data from experiments in algorithmics. Lecture Notes in Computer Science , 2547:181–196.Spinrad, J. P. (2003). Efficient Graph Representations. Fields Institute Monographs. American Mathematical Society.Turing, A. M. (1937). On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society , s2-42(1):230–265.Vaingast, S. (2009). Beginning Python Visualization: Crafting Visual Transformation Scripts. Apress.West, D. B. (2001). Introduction to Graph Theory , second edition. Prentice Hall, Inc. 相关资源:Python程序设计与算法基础教程【课件 书籍源码】
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