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copied!<p>If you really want to learn this topic, then you probably need a standard theory/algorithms textbook. I don't know of any website that can actually teach you complexity analysis ("complexity" or "time complexity" is how you call those O() values; you might also want to google for "analysis of algorithms" or "introduction to algorithms" or such).</p> <p>But before that -- a free option. There are slides from a course given by Erik Demaine and Charles Leiserson in MIT, that are free and look great. I would definitely try to read them and see if that works for you. They are <a href="http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-046JFall-2005/LectureNotes/" rel="nofollow noreferrer">here</a>.</p> <p>Now, textbooks:</p> <p>The classical choice for a textbook is Cormen et al's book <a href="http://rads.stackoverflow.com/amzn/click/0262032937" rel="nofollow noreferrer">Introduction to Algorithms</a> (there might be a cheap version available to buy <a href="http://www.fetchbook.info/fwd_description/search_9780262032933.html" rel="nofollow noreferrer">here</a> and I remember seeing a free (possibly illegal) version online, but I don't remember where).</p> <p>A more recent and modern-style book, which is IMO more fun to read and a better choice, is Kleinberg and Tardos' <a href="http://rads.stackoverflow.com/amzn/click/0321295358" rel="nofollow noreferrer">Algorithm Design</a>.</p> <p>Here are some websites with information (I got these by googling "algorithm analysis lecture notes" without the quotes):</p> <ul> <li><a href="http://www.personal.kent.edu/~rmuhamma/Algorithms/algorithm.html" rel="nofollow noreferrer">Algorithms Lecture Notes</a></li> <li><a href="http://www.cs.sunysb.edu/~algorith/lectures-good/index.html" rel="nofollow noreferrer">Lecture notes by Steve Skiena</a></li> </ul> <p>The above is written by a computer science theorist. So programmers or other practical people might have some different opinions.</p>

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