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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
Insertion: Records has to be inserted at the place dictated by the sequence of keys. As is obvious, direct insertions into the main data file would lead to frequent rebuilding of
In a sorted list, Binary search is carried out by dividing the list into two parts depends on the comparison of the key. Since the search interval halves each time, the iteration o
DEPTH FIRST SEARCH (DFS) The approach adopted into depth first search is to search deeper whenever possible. This algorithm frequently searches deeper through visiting unvisite
(a) Describe the steps involved in the process of decision making under uncertainty. (b) Explain the following principles of decision making: (i) Laplace, (ii) Hurwicz. (c
compare two functions n and 2n for various values of n. determine when second becomes larger than first
what is cardinality
Q. Compare and contrast various sorting techniques or methods with respect to the memory space and the computing time.
what is far and near procedures in system programming?
Define neotaxonomy. Discuss how electron microscopy can help in solving a zoological problem faced by taxonomist.
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