Data Structures and Algorithms

Data Structures and Algorithms free pdf ebook was written by on October 11, 2002 consist of 2 page(s). The pdf file is provided by and available on pdfpedia since April 10, 2012.

data structures and algorithms 40-224 / fall 2002 lecturer: hamid zarrabi zadeh 8vhixo5hihuhq.hv 1...writing efficient programs. prentice-hall, 1982. performance hacking extraordinaire. 7. gilles brassard and..problems and references to algorithms in the literature for polynomial-time special...

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Data Structures and Algorithms pdf

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: April 10, 2012
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Data Structures and Algorithms - page 1
Data Structures and Algorithms 40-224 / Fall 2002 Lecturer: Hamid Zarrabi Zadeh 8VHIXO5HIHUHQ.HV 1. Alfred V. Aho, John E. Hopcroft, and Jeffrey D. Ullman. The Design and Analysis of Computer Algorithms. Addison-Wesley, 1974. The classic text, but it lacks topics in network flows and linear programming, as well as more recent algorithms. 2. Alfred V. Aho, John E. Hopcroft, and Jeffrey D. Ullman. Data Structures and Algorithms. Addison-Wesley, 1983. Revised and more elementary version of the first six chapters of The Design and Analysis of Computer Algorithms. 3. Sara Baase. Computer Algorithms: Introduction to Design and Analysis. Second edition. Addison-Wesley, 1988. General reference, although the exposition is sometimes terse or sketchy. 4. Jon Bentley. Programming Pearls. Addison-Wesley, 1986. Applications of algorithm design techniques to software engineering. 5. Jon Bentley. More Programming Pearls. Addison-Wesley, 1988. More applications of algorithm design techniques to software engineering. 6. Jon Louis Bentley. Writing Efficient Programs. Prentice-Hall, 1982. Performance hacking extraordinaire. 7. Gilles Brassard and Paul Bratley. Algorithmics: Theory and Practice. Prentice-Hall, 1988. Good examples and problems. Focus on methods rather than specific problems. 8. Kai Lai Chung. Elementary Probability Theory with Stochastic Processes. Springer-Verlag, 1974. Intuitive introduction to probability. 9. Shimon Even. Graph Algorithms. Computer Science Press, 1979. Broad treatment of graph algorithms, including network flow and planarity. 10. William Feller. An Introduction to Probability Theory and Its Applications. John Wiley & Sons, 1968 (Volume 1), 1971 (Volume 2). Excellent reference for probability theory. 11. Michael R. Garey and David S. Johnson. Computers and Intractibility: A Guide to the Theory of NP-Completeness. W. H. Freeman & Co., San Francisco, 1979. Reference book devoted to NP-completeness. The second half contains an extensive list of NP-complete problems and references to algorithms in the literature for polynomial-time special cases. 12. G. H. Gonnet. Handbook of Algorithms and Data Structures. Addison-Wesley, 1984. Code in Pascal and C, comparisons of actual running times, and pointers to analysis in research papers. 13. Dan Gusfield. Algorithms on Strings, Trees, and Sequences Cambridge University Press, 1997. General treatment of algorithms that operate on character strings and sequences.
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Data Structures and Algorithms - page 2
14. Ellis Horowitz and Sartaj Sahni. Fundamentals of Computer Algorithms. Computer Science Press, 1978. Good on data structures, dynamic programming, and branch-and-bound algorithms. 15. Jeffrey H. Kingston. Algorithms and Data Structures: Design, Correctness, Analysis. Addison- Wesley Publishing Co., 1991. A nice introductory book on data structures, with a good chapter on algorithm correctness. 16. Donald E. Knuth. The Art of Computer Programming. Addison-Wesley. Encyclopedic work in three volumes: (1) Fundamental Algorithms, (2) Semi numerical Algorithms, and (3) Sorting and Searching. 17. Eugene L. Lawler. Combinatorial Optimization. Holt, Rinehart, and Winston, 1976. Graph algorithms (dense graphs), network flows, and linear programming. First few chapters are excellent. 18. C. L. Liu. Introduction to Combinatorial Mathematics. McGraw-Hill, 1968. Combinatorial mathematics relevant to computer science. Excellent problems. 19. Udi Manber. Introduction to Algorithms. Addison-Wesley, 1989. Elementary text with an emphasis on creativity. 20. Kurt Mehlhorn. Data Structures and Algorithms. Springer-Verlag, 1984. Three volumes: (1) Sorting and Searching, (2) Graph Algorithms and NP-Completeness, and (3) Multidimensional Searching and Computational Geometry. Lecture notes on basic and advanced topics. 21. Ivan Niven and Herbert S. Zuckerman. An Introduction to the Theory of Numbers. John Wiley & Sons, 1980. Readable introduction to number theory. 22. Christos H. Papadimitriou and Kenneth Steiglitz. Combinatorial Optimization: Algorithms and Complexity. Prentice-Hall, 1982. Linear programming and its variants. 23. William P. Press, Brian P. Flannery, Saul A. Teukolsky, andWilliam T. Vetterling. Numerical Recipies in C: The Art of Scientific Computing, Cambridge University Press, Cambridge, 1988. Code for numerical algorithms. 24. E. M. Reingold, J. Nievergelt, and N. Deo. Combinatorial Algorithms: Theory and Practice. Prentice-Hall, 1977. Good on recurrence relations and binary search trees. 25. Robert Sedgewick. Algorithms. Second edition. Addison-Wesley, 1988. Elementary text with an excellent breadth of topics. Light on analysis, but lots of figures. 26. Michael Sipser. Introduction to the Theory of Computation. PWS Publishing Co., 1997. A good text on computability and complexity theory. 27. Robert Endre Tarjan. Data Structures and Network Algorithms. Society for Industrial and Applied Mathematics, 1983. Advanced book with tons of good stuff.
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