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Intractability

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May 1, 2024 3 minute read

Intractability is a fascinating area of computer science that delves into the inherent difficulty of solving certain computational problems. It explores the limitations of what computers can accomplish, even with unlimited time and resources.

Background and Significance

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Intractability.
Provides a broad overview of computational complexity theory, from basic concepts to advanced topics, and is suitable for both undergraduate and graduate students.
Presents a modern perspective on computational complexity, emphasizing algorithmic and proof techniques.
Covers the theory of computability, including Turing machines, recursion theory, and the limits of what computers can compute.
Examines approximation algorithms for NP-hard problems, discussing techniques for finding efficient solutions to difficult problems.
Introduces the theory of parameterized complexity, which studies the complexity of problems with respect to varying parameters.
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