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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.
two standards ways of traversing a graph in data structure
In the array implementation of the lists, we will use the array to hold the entries and a separate counter to keep track of the number of positions are occupied. A structure will b
Methods of Collision Resolution 1) Collision Resolution by separate chaining 2) Collision Resolution by open addressing
There are four data type groups: Integer kepts whole numbers and signed numbers Floating-point Stores real numbers (fractional values). Perfect for storing bank deposit
Post-order Traversal This can be done both iteratively and recursively. The iterative solution would need a change of the in-order traversal algorithm.
implement multiple stack in single dimensionl array.write algorithms for various stack operation for them
Explain the term- Dry running of flowcharts Dry running of flowcharts is essentially a technique to: Determine output for a known set of data to check it carries out th
Maximum numbers of nodes a binary tree of depth d The maximum numbers of nodes a binary tree of depth d can have is 2 d+1 -1.
Example: Insertion of a key 33 into a B-Tree (w/split) Step 1: Search first node for key closet to 33. Key 30 was determined. Step 2: Node pointed through key 30, is se
Explain Backtracking The principal idea is to construct solutions single component at a time and evaluate such partially constructed candidates as follows. If a partiall
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