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Alan Frieze

Alan Frieze

· Orion Hoch, S 1952, University Professor of Mathematical Sciences

Carnegie Mellon University · Mathematical Sciences

Active 1974–2026

h-index74
Citations22.1k
Papers83795 last 5y
Funding$2.1M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Alan Frieze is a Professor of Mathematical Sciences at Carnegie Mellon University, holding the title of University Professor. His research interests are in Probabilistic Combinatorics and its applications to Theoretical Computer Science and Operations Research. Much of his work has focused on the properties of random graphs, including studying the threshold for the occurrence of various properties in several models of a random graph. He has also investigated the expected performance of algorithms on random data, often involving random graphs, and has utilized Markov Chains as a computational tool. His contributions include work on estimating the volume of convex bodies in high dimensions, developing a randomized approximation scheme in collaboration with colleagues, and studying the number of proper k-colorings of graphs and hypergraphs. Frieze has extensively researched random walks in graphs, cover times of random graph models, and methods for finding edge and vertex disjoint paths in expander graphs. His recent work extends these studies to random hypergraphs and matroids. He has authored a book titled 'Introduction to Random Graphs' and has received numerous awards, including a Simons Foundation Fellowship, fellowship of the American Mathematical Society, SIAM Fellowship, and recognition as a plenary speaker at the 2014 International Congress of Mathematicians.

Research topics

  • Combinatorics
  • Mathematics
  • Discrete mathematics
  • Computer science
  • Algorithm

Selected publications

  • O(1) Insertion for Random Walk d-ary Cuckoo Hashing up to the Load Threshold

    2024-10-27 · 3 citations

    articleSenior author

    The random walk d-ary cuckoo hashing algorithm was defined by Fotakis, Pagh, Sanders, and Spirakis to generalize and improve upon the standard cuckoo hashing algorithm of Pagh and Rodler. Random walk d-ary cuckoo hashing has low space overhead, guaranteed fast access, and fast in practice insertion time. In this paper, we give a theoretical insertion time bound for this algorithm. More precisely, for every <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xl…

  • The Bright Side of Simple Heuristics for the TSP

    The Electronic Journal of Combinatorics · 2024-10-03 · 3 citations

    articleOpen access1st authorCorresponding

    The greedy and nearest-neighbor TSP heuristics can both have $\log n$ approximation factors from optimal in worst case, even just for $n$ points in Euclidean space. In this note, we show that this approximation factor is only realized when the optimal tour is unusually short. In particular, for points from any fixed $d$-Ahlfor's regular metric space (which includes any $d$-manifold like the $d$-cube $[0,1]^d$ in the case $d$ is an integer but also fractals of dimension $d$ when $d$ is real-value…

  • Some online Maker-Breaker games

    Discrete Mathematics · 2025-02-19 · 1 citations

    articleSenior author
  • Rainbow Greedy Matching Algorithms

    Springer optimization and its applications · 2024-10-29 · 1 citations

    book-chapterSenior author
  • Diffusion limited aggregation in the layers model

    Journal of Applied Probability · 2026-04-28

    preprintOpen accessSenior authorCorresponding

    Abstract In the classical model of diffusion limited aggregation (DLA), introduced by Witten and Sander, the process begins with a single-particle cluster placed at the origin of a space. Then, one at a time, particles make a random walk from infinity until they halt by colliding with the existing cluster. We consider an analogous version of this process on large but finite graphs with a designated source and sink vertex. Initially the cluster of halted particles contains a single particle at th…

Recent grants

Frequent coauthors

  • Colin Cooper

    154 shared
  • Wesley Pegden

    91 shared
  • Tom Bohman

    77 shared
  • Andrzej Dudek

    Warsaw University of Technology

    58 shared
  • Martin Dyer

    54 shared
  • Miklós Ruszinkó

    Alfréd Rényi Institute of Mathematics

    43 shared
  • Michael Krivelevich

    42 shared
  • Michael Anastos

    Institute of Science and Technology Austria

    39 shared

Education

  • Ph.D.

    University of London

Awards & honors

  • Simons Foundation Fellowship
  • Fellow of the American Mathematical Society
  • SIAM Fellow
  • Plenary speaker at the 2014 International Congress of Mathem…

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