Can anyone give me references of a web site containing a summary of the main Java data structures, and their respective complexity in time (for some given operations like ad
Time and space complexities for the main collection classes should correspond to data structures known time complexity. I don't think there's anything Java specific about it, e.g. (as you say) hash lookup should be O(1). You could look here or here.
I couldn't see this particular resource mentioned here, i've found it of great use in the past. Know Thy Complexities!
http://bigocheatsheet.com/
Is there a reason to think that Java's implementation is different (in terms of complexity) than a generic, language agnostic implementation? In other words, why not just refer to a general reference on the complexity of various data structures:
NIST Dictionary of Algorithms and Data Structures
But, if you insist on Java-specific:
Java standard data structures Big O notation
Java Collections cheatsheet V2 (dead link, but this is the first version of the cheatsheet)
I don't believe there is any single website outlining this (sounds like a good idea for a project though). I think part of the problem is that an understanding in how each of the algorithms runs is very important. For the most part, it sounds like you understand Big-O, so I would use that as your best guesses. Follow it up with some benchmarking/profiling to see what runs faster/slower.
And, yes, the Java docs should have much of this information in java.util
.
I found very useful The Collections Framework page, expecially the Outline of the Collections Framework, where every interface/class is breeefly described. Unfortunately there's no big-O information.
The most comprehensive Java Collections overview is here
http://en.wikiversity.org/wiki/Java_Collections_Overview