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  1. jeffe.cs.illinois.eduJeff Erickson

    I'm a computational geometer/topologist/graphophile with more general interests in algorithms, data structures, and lower bounds. I also have a growing interest in computer science education research, especially in understanding how students learn to design algorithms.

    • Research

      Jeff Erickson's Research My main research interests are...

    • Graduate Algorithms

      by Jeff Erickson 🔥1st edition, June 2019 🔥 (Amazon links:...

    • Computational Geometry

      Jeff Erickson (jeffe@illinois.edu) Lectures Wed Fri...

    • Family

      Jeff Erickson's home page. My beautiful wife Kim Whittlesey...

  2. A free electronic version of a self-published textbook on algorithms, along with other lecture notes for theoretical computer science classes at Illinois. The book covers topics such as recursion, dynamic programming, greedy algorithms, graph algorithms, NP-hardness, and more.

  3. Professor of Computer Science, University of Illinois Urbana-Champaign. Verified email at illinois.edu - Homepage. Algorithms data structures computational geometry computational topology.

  4. Jeff Erickson, Ivor van der Hoog, and Tillmann Miltzow. Smoothing the gap between NP and ∃ℝ. SIAM Journal on Computing , 2023, special section of invited papers from the 61st Annual IEEE Symposium on Foundations of Computer Science.

  5. Tema 1: Introducción. Tema 2: Divide y Vencerás. Tema 3: Algoritmos Voraces. Tema 4: Búsqueda Exhaustiva. Tema 5: Programación Dinámica. Tema 3. LECTURAS RECOMENDADAS. Además de la bibliografía del curso (que aparece más abajo), se recomiendan como textos complementarios (sobre todo para consulta):

  6. Professor. Associate professor. Assistant professor. Postdoctoral research associate, Center for Geometric Computing, Department of Computer Science, Duke University. 1992–1996. Graduate student researcher and graduate student instructor, Computer Science Division, University of California, Berkeley. 1990–1992.

  7. Jeff Erickson, 2019 - Computers - 449 pages. Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as...