Randomized Algorithms (Spring 2010)/Course materials: Difference between revisions
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= Course textbook = | |||
* '''[MR]''' Rajeev Motwani and Prabhakar Raghavan, ''Randomized Algorithms''. Cambridge University Press, 1995. | * '''[MR]''' Rajeev Motwani and Prabhakar Raghavan, ''Randomized Algorithms''. Cambridge University Press, 1995. | ||
:《随机算法》已被高等教育出版社翻译引进。 | |||
= References and further readings = | |||
* '''[CLRS]''' Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein. ''Introduction to Algorithms'', 2nd edition. MIT Press, 2001. | * '''[CLRS]''' Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein. ''Introduction to Algorithms'', 2nd edition. MIT Press, 2001. | ||
:《算法导论》，算法的经典教材之一，已被高等教育出版社原文引进。该书在本课程中可作为一本算法方面的工具书使用。 | |||
* '''[MU]''' Michael Mitzenmacher and Eli Upfal. ''Probability and Computing: Randomized Algorithms and Probabilistic Analysis''. Cambridge University Press, 2005. | * '''[MU]''' Michael Mitzenmacher and Eli Upfal. ''Probability and Computing: Randomized Algorithms and Probabilistic Analysis''. Cambridge University Press, 2005. | ||
:《概率与计算》，机械工业出版社翻译引进。与[MR]相比，该书内容覆盖面较小，着重于分配问题 (allocation problems, balls-into-bins model)，但结构更加清晰。 | |||
* '''[ | * '''[Feller]''' William Feller, ''An Introduction to Probability Theory and Its Applications'', volumes 1, 3rd edition. Wiley, 1968. | ||
:《概率论及其应用》，人民邮电出版社翻译引进。概率论的经典教材和工具书。 | |||
* '''[AS]''' Noga Alon and Joel Spencer. ''The Probabilistic Method'', 2nd edition. Wiley, 2000. | * '''[AS]''' Noga Alon and Joel Spencer. ''The Probabilistic Method'', 2nd edition. Wiley, 2000. | ||
:组合数学的概率方法。 | |||
* '''[ | * '''[Chang]''' Joseph Chang. ''Stochastic Processes''. Lecture notes. http://www.stat.yale.edu/~jtc5/251/stochastic-processes.pdf | ||
:耶鲁大学随机过程课程讲义。 | |||
* '''[HLW]''' Shlomo Hoory, Nathan Linial, and Avi Wigderson. ''Expander Graphs and Their Applications''. American Mathematical Society, 2006. [[media:Expanders.pdf|[PDF]]] | * '''[HLW]''' Shlomo Hoory, Nathan Linial, and Avi Wigderson. ''Expander Graphs and Their Applications''. American Mathematical Society, 2006. [[media:Expanders.pdf|[PDF]]] | ||
:原为普林斯顿高等研究院和以色列希伯来大学的课程讲义，是扩展图理论最好的介绍。 | |||
Latest revision as of 11:58, 11 January 2010
Course textbook
- [MR] Rajeev Motwani and Prabhakar Raghavan, Randomized Algorithms. Cambridge University Press, 1995.
- 《随机算法》已被高等教育出版社翻译引进。
References and further readings
- [CLRS] Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein. Introduction to Algorithms, 2nd edition. MIT Press, 2001.
- 《算法导论》，算法的经典教材之一，已被高等教育出版社原文引进。该书在本课程中可作为一本算法方面的工具书使用。
- [MU] Michael Mitzenmacher and Eli Upfal. Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Cambridge University Press, 2005.
- 《概率与计算》，机械工业出版社翻译引进。与[MR]相比，该书内容覆盖面较小，着重于分配问题 (allocation problems, balls-into-bins model)，但结构更加清晰。
- [Feller] William Feller, An Introduction to Probability Theory and Its Applications, volumes 1, 3rd edition. Wiley, 1968.
- 《概率论及其应用》，人民邮电出版社翻译引进。概率论的经典教材和工具书。
- [AS] Noga Alon and Joel Spencer. The Probabilistic Method, 2nd edition. Wiley, 2000.
- 组合数学的概率方法。
- [Chang] Joseph Chang. Stochastic Processes. Lecture notes. http://www.stat.yale.edu/~jtc5/251/stochastic-processes.pdf
- 耶鲁大学随机过程课程讲义。
- [HLW] Shlomo Hoory, Nathan Linial, and Avi Wigderson. Expander Graphs and Their Applications. American Mathematical Society, 2006. [PDF]
- 原为普林斯顿高等研究院和以色列希伯来大学的课程讲义，是扩展图理论最好的介绍。