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PDF Editor FAQ

How is the Introduction to algorithms book just an introduction?

How is the Introduction to Algorithms book just an introduction?Because it is an introduction to algorithms. Not an introduction to computer science.We assume that you’ve done some programming and are familiar with arrays and pointers. A background in discrete mathematics helps, especially in understanding proofs. Much of the discrete mathematics appears in the appendices, anyway.But we do not assume that you’ve seen any particular algorithms before. Well, maybe linear search.

What is the best introduction to computer science books?

A2AAt Dartmouth, we do not assign a textbook in our introductory course. We use a set of lecture notes on the Web that Devin Balkcom, Hany Farid, and I have written over the years. So, my answer is that I have no answer.

Why is Introduction to Algorithms by Thomas Cormen not a beginner’s book, despite its name?

Question: “why Introduction to Algorithms by Thomas Cormen is not beginner’s book, despite its name?”A2A(Note: Let’s give credit where credit is due. I am not the only author of Introduction to Algorithms. My coauthors are Charles Leiserson, Ronald Rivest, and Cliff Stein.)I have answered a similar question elsewhere on Quora, but I’m too lazy to use Quora’s lame search function to find it. Here’s the gist of what I wrote.Introduction to Algorithms is just that. An introduction to algorithms. It is not an introduction to computer science or to programming, and we never intended it to be. It starts out with basic concepts and simple algorithms, but it does assume that you’ve done some programming. It really helps to have already seen recursion, which just about any introductory programming course should cover.Yes, the book contains quite a bit of mathematics, but it is also self contained. If you don’t know how to solve summations, if you don’t know basic concepts of discrete mathematics, if you don’t know probability, or if you don’t know much about matrices, then read the appendices. Other mathematical techniques are covered in the chapters, e.g., solving recurrence equations, using potential functions for amortized analysis, and basics of number theory.

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