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Explain Optimal Binary Search Trees
One of the principal application of Binary Search Tree is to execute the operation of searching. If probabilities of searching for elements of a set are called, it is natural to pose a question about an optimal binary search tree for which the average number of comparisons in a search is the smallest possible.
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
what is frequency count with examble
reverse the order of elements on a stack S using two additional stacks using one additional stack
Methods of Collision Resolution 1) Collision Resolution by separate chaining 2) Collision Resolution by open addressing
omega notation definition?
How To implement stack using two queues , analyze the running time of the stack operations ?
Any Binary search tree has to contain following properties to be called as a red- black tree. 1. Each node of a tree must be either red or black. 2. The root node is always b
Merge sort is also one of the 'divide & conquer' classes of algorithms. The fundamental idea in it is to split the list in a number of sublists, sort each of these sublists & merge
Q. Describe the term hashing. Explain any two usually used hash functions. Explain one method of collision resolution.
Explain the Assertions in Ruby Ruby offers no support for assertions whatever. Moreover, because it's weakly typed, Ruby doesn't even enforce rudimentary type checking on opera
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