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Limitation of Binary Search: -
(i) The complexity of Binary search is O (log2 n). The complexity is similar irrespective of the position of the element, even if it is not present in the array.
(ii) The algorithm supposes that one has direct access to middle element in the list on a sub list. This means that the list must be kept in some type of array. Unfortunately inserting an element in an array requires element to be moved down the list and deleting an element from an array needs element to be moved up the list.
(iii) The list must be sorted.
1. Apply the variant Breadth-First Search algorithm as shown in Figure 2 to the attached graph. This variant is used for computing the shortest distance to each vertex from the sta
what is multilist length file organisation? explain with an example
A linear list of elements in which deletion can be done from one end (front) and insertion can take place only at the other end (rear) is called as a Queue.
1. Start 2. Get h 3. If h T=288.15+(h*-0.0065) 4. else if h T=216.65 5. else if h T=216.65+(h*0.001) 6. else if h T=228.65+(h*0.0028) 7. else if h T=270.65 8.
A binary search tree is used to locate the number 43. Which of the following probe sequences are possible and which are not? Explain. (a) 61 52 14 17 40 43 (b) 2 3 50 40 60 43 (c)
In file access: what is the difference between serial, sequential and indexed sequential searching
Binary search tree. A binary search tree is a binary tree that is either empty or in which every node having a key that satisfies the following conditions: - All keys (if an
complete information about collision resolution techniques
I =PR/12 Numbers of years .Interest rate up to 1yrs . 5.50 up to 5yrs . 6.50 More than 5 yrs . 6.75 design an algorithm based on the above information
INSERT FUNCTION /*prototypes of insert & find functions */ list * insert_list(list *); list * find(list *, int); /*definition of anyinsert function */ list * inser
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