The difficulty, when teaching or learning about recursion, is finding examples that students recognise, but which are also worthwhile uses of recursion. Decimal to Binary using recursion and without using power operator, Find maximum and minimum element in binary tree without using recursion or stack or queue, Print numbers 1 to N using Indirect recursion, Time Complexity Analysis | Tower Of Hanoi (Recursion), Product of 2 numbers using recursion | Set 2, Zig-Zag traversal of a Binary Tree using Recursion, Data Structures and Algorithms – Self Paced Course. Difference between Recursion and Iteration. Don’t stop learning now. However, recursion is usually slower and uses more memory because of the overhead of creating and maintaining stack frames. This way, we will kill two birds with one stone: recursion and data structures and algorithms. These loops refer to explicit iteration … Tail Recursion is a special case of recursion where the last operation of the recursive function is the recursive call. However, in the recursive process, information is maintained by the computer, therefore "hidden" to the program. The difference between recursion and iteration? Which is Better: Recursion or Iteration? 2)Make a recursive a call for a smaller case (that is, a case which is a step towards the base case). For example, Data structures like trees are easier to explore using recursion (or would need stacks in any case), Time complexity of recursive code = O(2^n), Space Complexity of recursive code = O(n) (for recursion call stack), Space Complexity of iterative code = O(1). In this example, recursion can easily be seen in the statement (N*factorial(N-1)), where it is calling the factorial function again. It will take you quite some time. Assume that the recursive call works correctly, and fix up what it returns to make the answer. On other hand Recursion uses more memory than iteration due to excessive use of call stack. Recursion: Recursion involves calling the same function again, and hence, has a very small length of code. Recursion vs Iteration. Divide-and-Conquer problems: Recursive in nature. Iteration is based on loops. Here are three common examples. If it were, then no programming language would support iteration constructs, whereas in practice almost all languages support both, and iteration is used much more than recursion in practice. And the recursion itself, more directly, means putting the function calls and scopes in a stack. If we stopped the computation in the middle, to resume it only need to supply the computer with all variables. Try to solve the depth-first search both recursively and iteratively. 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It's more intuitive in many cases when it mimics our approach to the problem. Writing code in comment? As per my (various) readings and experience, I have found the only one advantage of using recursion over iteration: Cleaner and simpler code which can easily be understood. Worst-case time and space complexities of both the approaches are nearly same but the recursive approach looks intuitive, clean and easy to understand. Because some algorithms are hard to solve it iteratively. Recursion has a large amount of overhead as compared to Iteration. 1. Let’s suppose you implement some algorithm, the implementation of recursive solution can be much more readable and elegant than an iterative solution( but in some cases, recursive solution is much more difficult to understand) Recursion consumes more memory than solution build with iteration. Below are the detailed example to illustrate the difference between the two: Attention reader! 2. In Recursion,the time complexity is very high. Here the recursive algorithm is difficult to analyse and less intuitive to think. The emphasis of recursion: Here we solve the problem via the smaller sub-problems till we reach the trivial version of the problem i.e. In a sense, iteration is going to be more costly (in those algorithms that lend themselves to recursion), because you're re-creating the state storage mechanism that recursion already provides. At that point, choice of recursive vs. iterative formulation is pretty much a matter of personal and local preference. It is usually much slower because all function calls must be stored in a stack to allow the return back to the caller functions. Recursion is generally used because of the fact that it is simpler to implement, and it is usually more ‘elegant’ than iterative solutions. 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