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The total of time needed by an algorithm to run to its completion is termed as time complexity. The asymptotic running time of an algorithm is given in terms of functions. The upper bound for a function 'f' is provided by the big oh notation (O). Taking 'g' to be a function from the non-negative integers to the positive real numbers, we define O(g) as a set of function f such that for some real constant c>0 and for some non negative integers constant n0, f(n)≤cg(n) for all n≥n0. Mathematically, O(g(n))={f(n): there are positive constants such that 0≤f f(n)≤cg(n) for all n, n≥n0} , we say "f is oh of g"
Binary Search Tree let three types of traversals by its nodes. They are: Pre Order Traversal In Order Traversal Post Order Traversal In Pre Order Traversal, we ca
Q. Prove the hypothesis that "A tree having 'm' nodes has exactly (m-1) branches". Ans: A tree having m number of nodes has exactly (m-1) branches Proof: A root
what is an algorithms
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There are three typical ways of recursively traversing a binary tree. In each of these, the left sub-trees & right sub-trees are visited recursively and the distinguishing feature
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