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Big oh notation (O): The upper bound for the function 'f' is given by the big oh notation (O). Considering 'g' to be a function from the non-negative integers to the positive real numbers, we describe O(g) as the set of function f such that for some real constant c>0 and some non negative integers constant n0 , f(n) ≤ cg(n) for all n≥n0. Mathematically, O(g(n))= {f(n): there exists positive constants like that 0≤f f(n) ≤ cg(n) for all n, n≥n0} , we say "f is oh of g".
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1) preorder, postorder and inorder 2) The main feature of a Binary Search Tree is that all of the elements whose values is less than the root reside into the nodes of left subtr
lower triangular matrix and upper triangular matrix
Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in
State about the Simple types - Built-In Types Values of the carrier set are atomic, that is, they can't be divided into parts. Common illustrations of simple types are inte
Problem 1. You are asked to store Names of all 100 students of class A in your Learning Centre. Which data type will you use? What is its syntax? Explaining the data typ
What are stored and derived attributes? Stored attributes: The attributes kept in a data base are called stored attributes. Derived attributes: The attributes that are
Multidimensional array: Multidimensional arrays can be defined as "arrays of arrays". For example, a bidimensional array can be imagined as a bidimensional table made of elements,
Q. Write down the algorithm to insert an element to a max-heap which is represented sequentially. Ans: The algorithm to insert an element "newkey" to
State the complex reallocation procedure Some languages provide arrays whose sizes are established at run-time and can change during execution. These dynamic arrays have an in
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