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What math is needed to understand algorithms?

What math is needed to understand algorithms?

A version of what is normally called discrete mathematics, combined with first-year (university) level calculus are the primary requirements to understanding many (basic) algorithms and their analysis.

What maths do you need for data structures and algorithms?

When you learn data structures and algorithms, it involves more with discrete math than the math you learn in high school (solve equations, calculus, .. etc). Discrete math is about combinatoric, counting, logic, graph, and I think it is less abstract and more natural.

Can you learn to code if you’re bad at math?

Yes, you can learn coding even if you are bad in math, but beware: Most programming books and tutorials give math problems as examples, so understanding that may be difficult.

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Is CLRS a good book for beginners?

CLRS should be treated more like an encyclopedia of DS&A knowledge; for a complete beginner to DS&A, CLRS will be very frustrating to use, and it’ll also be a painfully slow read as well. If you’re just getting started with data structures & algorithms, it’s better to start with a book like Grokking Algorithms.

What is the best book for learning algorithms?

CLRS is a highly technical textbook, and we pull no punches on the math. AU, a trade book (not a textbook), is a gentler introduction to algorithmic concepts and analysis. It’s written in a more informal style than CLRS, and it has a little more intuition.

What kind of Math is needed to understand computer algorithms?

A version of what is normally called discrete mathematics, combined with first-year (university) level calculus are the primary requirements to understanding many (basic) algorithms and their analysis.

Where can I find the CLR book for free?

The MIT course that uses the CLR book has a specific prerequisite course. The textbook used by that prerequisite course is available for free. http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/readings/