2018Unpublished venueRequires access

Computational Complexity

sarah-marie belcastro

Open publisher page 27 citations

Abstract

This topic is very important in practice: paying attention to the computational complexity of an algorithm as it’s being designed can make the difference between a program that won’t finish before the universe ends and a program that finishes in an hour or two.

About this research paper

What this paper is about

This topic is very important in practice: paying attention to the computational complexity of an algorithm as it’s being designed can make the difference between a program that won’t finish before the universe ends and a program that finishes in an hour or two.

Why it matters

OpenAlex reports 27 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

This topic is very important in practice: paying attention to the computational complexity of an algorithm as it’s being designed can make the difference between a program that won’t finish before the universe ends and a program that finishes in an hour or two.

Key concepts: Computer science, Computational complexity theory, Mathematics, Theoretical computer science, Discrete mathematics, Algorithm

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