January 2013
Beginner to intermediate
650 pages
16h 11m
English
Content preview from Introduction to Automata Theory, Formal Languages and ComputationBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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12
Computational Complexity
Introduction
It is already discussed that decidable problems have algorithms. For solving a decidable problem, there may be more than one algorithm. The algorithms may differ in time taken and/or memory required to execute and produce the result, for the same input. This is known as computational complexity. It concerns with the question ‘which is the efficient algorithm for solving a decision problem.’ While discussing computational complexity, some underlying particulars such as hardware, software, and data structure are generally ignored. Computer science deals with the theoretical foundations of information, computation, and practical techniques for implementation and application. In this chapter, we shall discuss ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.