Robert Sedgewick

This page always under construction (even though it is an old-school page that needs work).

Robert Sedgewick

Department of Computer Science
Princeton University
Princeton, NJ 08544
rs@cs.princeton.edu

Primary professional activities

William O. Baker Professor, Department of Computer Science, Princeton University
Author of several books published by Addison-Wesley
Research in analysis of algorithms
Director, (emeritus) Adobe Systems

Booksites

Algorithms, 4th edition , with Kevin Wayne
Analytic Combinatorics, with Philippe Flajolet
An Introduction to Programming in Java: An Interdisciplinary Approach , with Kevin Wayne
An Introduction to the Analysis of Algorithms, with Philippe Flajolet

Recent books

An Introduction to Computer Science , with Kevin Wayne
Algorithms, 4th edition , with Kevin Wayne
Analytic Combinatorics, with Philippe Flajolet
An Introduction to Programming in Java: An Interdisciplinary Approach , with Kevin Wayne
Algorithms in Java, Part 5 (Graph Algorithms) (code, errata)
Algorithms in Java, Parts 1-4 (Fundamental Algorithms, Data Structures, Sorting, Searching) (code, errata)
Algorithms in C++, Part 5 (Graph Algorithms) (code, errata)
Algorithms in C, Part 5 (Graph Algorithms) (code, errata)
Algorithms in C++, Parts 1-4 (Fundamental Algorithms, Data Structures, Sorting, Searching) (code, errata)
Algorithms in C, Parts 1-4 (Fundamental Algorithms, Data Structures, Sorting, Searching) (code, errata)
An Introduction to the Analysis of Algorithms, with Philippe Flajolet
Algorithms in C++ (second edition)

Recent talks

A 21st Century Model for Disseminating Knowledge, Brown University, May 2018; Massachusetts Institute of Technology, xTalk, April 2018; University of Michigan, December 2017; Harvey Mudd College, October 2017; University of Southern California, October 2017; Georgia Insitute of Technology, Commission on Creating the Next in Education, Atlanta, GA, April 2017; University of Utah, Salt Lake City, Utah, October, 2016 (Goldman Sachs Distinguished Lecture); Dagstuhl Workshop on Data Structures, Wadern, Germany, March, 2016.
Cardinality Estimation, Colloquim for Don Knuth's 80th birthday, Pitea, Sweden, January 2018; University of Southern California, October 2017; AofA'16 (Flajolet Lecture), Krakow, Poland, July 2016.
Computer Science for the Masses, ACM-IEEE-CS Meeting, Computer Science Education Week, Princeton, December, 2015.
If You Can Specify It, You Can Analyze It --- The Lasting Legacy of Philippe Flajolet, SODA, New Orleans, January, 2013; Vienna Center for Logic and Algorithms, Vienna University of Technology, May 2013; dedication of the Bibliotheque universitaire de Versailles to Philippe Flajolet, May, 2013; CanaDAM, Newfoundland, June 2013; LATIN, Montevideo, Uruguay, April, 2014.
Taking Education Online: A Unique Opportunity for the New Millenium, (alternate title Analytic Combinatorics for the Masses), Combinatorial Probability and Statistical Mechanics Workshop, Queen Mary University of London, February, 2013; Colloquium d'informatique de Université Pierre et Marie Curie – Sorbonne Universités, Paris, May 2013; 24th International Meeting on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms, Menorca, May 2013; Center for Information Technology Policy Lecture Series, Princeton University, October 2013; Universidad de la República Faculty of Engineering, Montevideo, Uruguay, April, 2014; NYU Polytechnic School of Engineering, Brooklyn, NY, April, 2015.
From Analysis of Algorithms to Analytic Combinatorics, DIMACS, December, 2011; PFAC conference, Paris, December, 2011; Drexel University, February, 2012; Stanford University, April, 2012.
Algorithms for the Masses, ANALCO'11, San Francisco, January, 2011; Modi Memorial Lecture, Drexel University, April, 2012.
Putting the Science back into Computer Science, CS Colloquium, Rutgers University, November, 2010.
The Role of the Scientific Method in Programming, Colloquium on Computer Science Pedagogy, Carnegie-Mellon University, March, 2010.
Impatiemment Attendu, Philippe Flajolet 60th birthday celebration, Paris, December, 2008.
Left-Leaning Red-Black Trees, Combinatorics and Probability Seminar, University of Pennsylvania, October, 2008.
Left-Leaning Red-Black Trees, Workshop on Analysis of Algorithms, Maresias, Brazil, April, 2008.
Left-Leaning Red-Black Trees, Dagstuhl Workshop on Data Structures, Wadern, Germany, February, 2008.
The Role of the Science and Mathematics in Software Development, Purdue University, West Lafayette, IN, November, 2007.
The Role of the Scientific Method in Software Development, Adobe Systems, San Jose, CA, April, 2007.
Creating "Algorithms", Adobe Systems, San Jose, CA, December, 2002; Tufts University, Medford, MA, May, 2003.
Finding Paths In Graphs, Adobe Systems India, January, 2007; based on earlier talks at 2005 International Conference on the Analysis of Algorithms, Barcelona, June, 2005, Dagstuhl Workshop on Data Structures, Wadern, Germany, February, 2004, and Ottawa-Carleton Discrete Math Day, April, 2004.
Creating "Algorithms", Adobe Systems, San Jose, CA, December, 2002; Tufts University, Medford, MA, May, 2003.
Permutation generation methods, Dagstuhl Workshop on Data Structures, Wadern, Germany, February, 2002.
Quicksort is optimal, Knuthfest, Stanford University, January, 2002.
New research on the theory and practice of sorting (math supplement) Universite du Quebec a Montreal, April 27, 2001; New York Academy of Sciences, February 8, 2000; Ecole Polytechnique, Paris, France, May 25, 1999.
Visualizing the analysis of algorithms, Fourth International Workshop on the Analysis of Algorithms, Princeton University, July 20, 1998.
Online knowledge and the incandescent future of the university, Assembly of the Class of 2001, Princeton University, September 7, 1997.
Open problems in the analysis of sorting and searching algorithms, Workshop on the probabilistic analysis of algorithms, Princeton, May, 1997.
Sorting and searching strings, Eighth Symposium on Discrete Algorithms, New Orleans, January, 1997.
Analysis of shellsort and related algorithms, Fourth European Symposium on Algorithms, Barcelona, September, 1996.

Princeton course development

General Computer Science, 1992-
Algorithms and Data Structures, 1986-, slides

Other professional activities

Director, DIMACS Special Year on Massive Data Sets
Area Editor for Journal of the ACM, Journal of Algorithms, and Algorithmica
President's Advisory Committee on Architecture, Princeton University

Past professional appointments

Founding Chair, Department of Computer Science, Princeton University (1985-94)
Professor at Brown University, Providence, RI (1975-85)
Visiting staff at Xerox PARC, Palo Alto, CA (1978, 1979)
Visiting staff at INRIA, Rocquencourt, France (1982-83, 1990)
Visiting staff at IDA, Princeton New Jersey (1978, 1979, 1983, 1990, 1994, 1997)
Computer Science GRE Committee, Educational Testing Service (1986-1996)

Selected papers

"Left-Leaning Red-Black Trees" , September, 2008.

"Mellin transforms and asymptotics: finite differences and Rice's integrals" (with P. Flajolet) Theoretical Computer Science A 144, 1995.

"The analysis of Heapsort" (with R. Schaffer), J. of Algorithms 13, 1993.

"Deterministic skip lists" (with I. Munro and T. Papadakis), Proc. 3rd ACM-SIAM Symp. on Discrete Algorithms, 1992.

"Tight lower bounds for Shellsort" (with M. Weiss), J. of Algorithms 11, 1990.

"Pairing heaps: a new form of self-adjusting heap," (with M. Fredman, D. Sleator, and R. E. Tarjan) Algorithmica 1, 1, 1986.

"Digital search tree analysis revisited" (with P. Flajolet), SIAM J. Computing 15, 2, 1986.

"Shortest paths in euclidean graphs" (with J. Vitter), Algorithmica 1, 1, 1986.

"A new upper bound for Shellsort," Journal of Algorithms 7, 1986.

"Improved Upper Bounds for Shellsort" (with J. Incerpi), J. Computer and System Sciences 31, 2, 1985.

"A system for algorithm animation" (with M. Brown) Computer Graphics 18, 3, 1984.

Technical reports and old papers

Thesis (1975)

General description of research goals

Finding efficient algorithms for fundamental practical problems by studying important algorithms at all levels through the design-analysis-implementation cycle. Validating theoretical designs through practical implementations; uncovering fundamental properties of algorithms through careful mathematical performance analyses; comparing algorithms through careful implementation studies.

Developing general mechanisms relating algorithms, data structures, generating functions and analytic functions such that asymptotic results useful in predicting performance of the algorithms can be derived automatically and economically.

Investigating the way in which visual representations can provide an understanding of how algorithms gain efficiency, including dynamic graphical simulations of algorithms in operation and high-quality static representations suitable for use in publications.