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Write an algorithm for binary search. Algorithm for Binary Search
1. if (low> high) 2. return (-1) 3. Mid = (low + high)/2 4. if ( X = = a[mid]) 5. return (mid); 6. if (X < a[mid]) 7. search for X in a[low] to a[mid-1] 8. else 9. search for X in a[mid+1] to a[high]
Sorting is significant application activity. Several sorting algorithms are obtainable. But, each is efficient for a specific situation or a specific kind of data. The choice of a
This notation bounds a function to in constant factors. We say f(n) = Θ(g(n)) if there presents positive constants n 0 , c 1 and c 2 such that to the right of n 0 the value of f
With the help of a program and a numerical example explain the Depth First Traversal of a tree.
how to learn about time complexity of a particular algorithm
Byteland county is very famous for luminous jewels. Luminous jewels are used in making beautiful necklaces. A necklace consists of various luminous jewels of particular colour. Nec
The below formula is used to calculate n: n = (x * x)/ (1 - x). Value x = 0 is used to stop the algorithm. Calculation is repeated using values of x until value x = 0 is input. The
Define order of growth The efficiency analysis framework concentrates on the order of growth of an algorithm's basic operation count as the principal indicator o
We will start by defining a new structure called Heap. Figure 3 illustrates a Binary tree. Figure: A Binary Tree A complete binary tree is said to assure the 'heap con
In order to analyze an algorithm is to find out the amount of resources (like time & storage) that are utilized to execute. Mostly algorithms are designed to work along with inputs
Construct a B+ tree for the following keys, starting with an empty tree. Each node in the tree can hold a maximum of 2 entries (i.e., order d = 1). Start with an empty root nod
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