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Demaine. Algorithmic Lower Bounds: Fun with Hardness Proofs

ocw.mit.edusite

A class taking a practical approach to proving problems can't be solved efficient.

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Theoretical Computer Science
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2026-10-10
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  1. Demaine, Gasarch & Hajiaghayi. Computers and Intractability: A Guide to Algorithmic Lower Bounds hardness.mit.edu

    A sequel to Garey and Johnson's Computers and Intractability: A Guide to NP-Completeness. New topics include Parameterized Complexity, Lower bounds on approximation, Other hardness assumptions (ETH, 3SUM-conjecture, APSP-conjecture, UGC, Others), Online Algorithms, Streaming…

  2. Robert Robere. Proof Complexity: Algorithms and Lower Bounds cs.mcgill.ca

    An introduction to modern proof complexity, emphasizing its connections with computational complexity and algorithms in optimization.

  3. Demaine. Games, Puzzles, and Computation routledge.com

    It shows that games and puzzles can serve as powerful models of computation, Offering a new way of thinking about computation.

  4. Volume 3: Verified Functional Algorithms softwarefoundations.cis.upenn.edu

    Demonstration of how a variety of fundamental data structures can be specified and verified.

  5. Rudich & Wigderson. Computational Complexity Theory ams.org

    Three weeks of lectures from the IAS/Park City Mathematics Institute Summer School on computational complexity. Topics include reductions, lower-bounds, average-case complexity, randomness, interactive proof systems, probabilistically checkable proofs, quantum computing, and…

  6. Demaine/Ku/Soloman. Introduction to Algorithms. MIT ocw.mit.edu

    A first course on basic algorithms and data structures. — added by Erik himself!

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