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The best algorithm to solve a given problem is one that requires less space in
memory and takes less time to complete its execution. But in practice it is not always possible to achieve both of these objectives. There may be more than one approach to solve a problem. One approach may require more space but less time to complete its execution. The 2nd approach may require less space but takes more time to complete execution. We choose 1st approach if time is a constraint and 2nd approach if space is a constraint. Thus we may have to sacrifice one at cost of the other. That is what we can say that there exists a time space trade among algorithm.
HEAP A heap is described to be a binary tree with a key in every node, such that 1-All the leaves of the tree are on 2 adjacent levels. 2- All leaves on the lowest leve
Difference among Prism's and Kruskal's Algorithm In Kruskal's algorithm, the set A is a forest. The safe edge added to A is always a least-weight edge in the paragraph that lin
Given are the definitions of some important terms: 1) Field: This is an elementary data item characterized by its size, length and type. For instance, Name
Q. Take an array A[20, 10] of your own. Suppose 4 words per memory cell and the base address of array A is 100. Find the address of A[11, 5] supposed row major storage.
Determine the number of character comparisons made by the brute-force algorithm in searching for the pattern GANDHI in the text
what are registers? why we need register? Definition? Types? What registers can do for us?
The algorithm to delete any node having key from a binary search tree is not simple where as several cases has to be considered. If the node to be deleted contains no sons,
disadvantage on duality principal
stickly binary tree
It offers an effective way to organize data while there is a requirement to access individual records directly. To access a record directly (or random access) a relationship is
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