Alfred V. Aho is Lawrence Gussman Professor of Computer Science at Columbia University. Professor Aho has won several awards including the Great Teacher Award for 2003 from the Society of Columbia Graduates and the IEEE John von Neumann Medal. He is a member of the National Academy of Engineering and a fellow of the ACM and IEEE.
Monica S. Lam is a Professor of Computer Science at Stanford University, was the Chief Scientist at Tensilica and the founding CEO of moka5. She led the SUIF project which produced one of the most popular research compilers, and pioneered numerous compiler techniques used in industry.
Ravi Sethi launched the research organization in Avaya and is president of Avaya Labs. Previously, he was a senior vice president at Bell Labs in Murray Hill and chief technical officer for communications software at Lucent Technologies. He has held teaching positions at the Pennsylvania State University and the University of Arizona, and has taught at Princeton University and Rutgers. He is a fellow of the ACM.
Jeffrey Ullman is CEO of Gradiance and a Stanford W. Ascherman Professor of Computer Science at Stanford University. His research interests include database theory, database integration, data mining, and education using the information infrastructure. He is a member of the National Academy of Engineering, a fellow of the ACM, and winner of the Karlstrom Award and Knuth Prize.
This book provides the foundation for understanding the theory and pracitce of compilers. Revised and updated, it reflects the current state of compilation. Every chapter has been completely revised to reflect developments in software engineering, programming languages, and computer architecture that have occurred since 1986, when the last edition published. The authors, recognizing that few readers will ever go on to construct a compiler, retain their focus on the broader set of problems faced in software design and software development. Computer scientists, developers, and aspiring students that want to learn how to build, maintain, and execute a compiler for a major programming language.
诚心地说,这是一本好教科书,但不是一本全能的书,也不是一本工具书。这本书不适合实践,里面通篇的抽象大道理,例子不多。如果你之前对编译原理不甚了解,或是想巩固对编译原理知识,这本书再适合不过了;如果你已经具备了编译知识,想自己动手构建一个编译器的话,我还...
评分大学里面的课本,大多数都是一个稍微浓缩了的编译原理讲解,老师基本上还是要看看这本红龙书才敢讲课的。 如果说这本书有什么优点,那么可以这么说,很多编译原理的书都有很多错误,这些错误是因为他们的算法和这本书的不太一样。有些取了捷径。不是说算法不对,而是没有讲明...
评分是本学期的课程,因为用的这个教材,但是想说,确实一个学期也没能把它学通,对我来说比较难,因为平时也还有其他很多事,没能钻进去。但是还是学到了很多东西。但是遗憾的是至今主要是理论上的东西,没能够实践,等吧这个学完了也要尝试实践,否则也是没有太大意义的。
评分是本学期的课程,因为用的这个教材,但是想说,确实一个学期也没能把它学通,对我来说比较难,因为平时也还有其他很多事,没能钻进去。但是还是学到了很多东西。但是遗憾的是至今主要是理论上的东西,没能够实践,等吧这个学完了也要尝试实践,否则也是没有太大意义的。
评分书本身的内容无可挑剔,特别是后面讲优化的时候让人叹为观止.对于编译优化给出了一些不失新颖性的详细实现方法.但是翻译水平实在不行,把这么好的一本书翻译的没法看,特别是KMP算法那里说来说去不知所云,造成了非常不好的阅读体验.作为出版社来说,把这么经典,这么重要的一本书交...
个人觉得比其他书都要详细,写的很好。常翻常新,每次都能读到新东西。
评分只能说是系统的学习了前端,后端捎带看了一点。
评分这本书很不适合入门编译原理,不适合新手
评分经典教材的好处是简明易懂,但缺点就是有些地方跟不上时代,有的地方还很抽象
评分我发现要把一个东西做出来总有办法,但要做的很优雅就永远离我有那么点距离
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