Is there a chart of all the data strucutres and algorithms listed anywere? -


is there chart or table anywhere displays lot of(at least popular ones) data structures , algorithms running times , efficiency?

what looking can glance at, , decide structure/algorithm best particular case. helpful when working on new project or study guide.

i don't believe such list exists. sheer number of known algorithms , data structures staggering, , new ones being developed time. moreover, many of these algorithms , data structures specialized, meaning if had list in front of difficult know ones applicable particular problems trying solve.

another concern such list how quantify efficiency. if rank algorithms in terms of asymptotic complexity (big-o), might end putting algorithms , data structures asymptotically optimal impractically slow on small inputs ahead of algorithms known fast practical cases might not theoretically perfect. example, consider looking median-of-medians algorithm linear time order statistics, has such huge constant factor other algorithms tend better in practice. or consider quicksort, in worst-case o(n2) in practice has average complexity o(n lg n) , much faster other sorting algorithms.

on other hand, try list algorithms runtime efficiency, list misleading. runtime efficiency based on number of factors machine- , input-specific (such locality, size of input, shape of input, speed of machine, processor architecture, etc.) might useful rule-of-thumb, in many cases might mislead numbers pick 1 algorithm when far superior.

there's implementation complexity consider. many algorithms exist in papers, or have reference implementations not optimized or written in language isn't you're looking for. if find holy grail algorithm want no implementation it, might impossibly difficult code , debug own version. example, if there weren't preponderance of red/black tree implementations, think you'd able code on own? how fibonacci heaps? or (from personal experience) van emde boas trees? may idea pick simpler algorithm that's "good enough" easy implement on more complex algorithm.

in short, wish table exist had information, practically speaking doubt constructed in way that's useful. wikipedia links @hammar's comments quite good, best way learn algorithms , data structures use in practice getting practice trying them out.


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