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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...

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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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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