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The location of a node in a binary search tree is defined as a string such as LLRRL, which represents the node that you find by starting at the root, and traversing Left, traverse Left, traverse Right, traverse Right, and traverse Left. Write a function to print a path to some target 'x' based on the direction from the root to the target. For example, in the tree above, the path from 65 to 52 is LRR. Hint: use a stack to store the path.
Write a recursive algorithm to count the number of right children in a binary search tree.
Write the method levelCount whose header is given below. Method levelCount returns the number of nodes on the specified level.
Materials consumed are priced in a systematic and realistic manner. It is argued that current acquisition costs are incurred for the purpose of meeting current production and sales
merging 4 sorted files containing 50 10 25 and 15 records will take time
Assume you are in the insurance business. Find two examples of Type 2 slowly changing dimensions in that business. As an analyst on the project, write the specifications for applyi
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
Krushkal's algorithm uses the concept of forest of trees. At first the forest contains n single node trees (and no edges). At each of the step, we add on one (the cheapest one) edg
Q. The two Binary Trees are said to be similar if they are both empty or if they are both non- empty and left and right sub trees are similar. Write down an algorithm to determine
What are the properties of an algorithsm?
Q. Explain the term hashing? Explain any five well known hash functions. Ans: Hashing method provides us the direct access of record from the f
since the gregorian calendar was introduced in 1752,a leap year occurs every 4 years.you are to write a pseudo code to find out whether a year is a leap year.your progrm should dis
#question.show that the following inequality is correct or incorrect. n!=O(n^n)
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