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Sorting Algorithm
A sorting algorithm is an algorithm which puts elements of a list in a certain order. The most-used orders are numerical order and lexicographical order. Efficient sorting is significant for optimizing the use of other algorithms (like search and merge algorithms) which require input data to be in sorted lists; it is also often helpful for canonicalizing data and for producing human-readable output. More formally, the output have to satisfy two conditions:
1.The output is in non-decreasing order (every element is no smaller than the previous element as per to the desired total order);
2.The output is a permutation (reordering) of the input.
Because the dawn of computing, the sorting problem has attracted a great deal of research, perhaps due to the complexity of solving it efficiently in spite of its simple, familiar statement. For instance, bubble sort .Sorting algorithms are prevalent in introductory computer science classes, in which the abundance of algorithms for the problem provides a gentle introduction to a range of core algorithm concepts, such as big O notation, divide and conquer algorithms, data structures, randomized algorithms, time-space tradeoffs, best, worst and average case analysis, and upper and lower bounds.
Merge sort: Merge sort is a sorting algorithm that uses the idea of split and conquers. This algorithm splits the array into two halves, sorts them separately and then merges t
Q. What do you understand by the term Hashing? How do the collisions occur during hashing? Explain the different techniques or methods for resolving the collision.
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Djikstra's algorithm (named after it is discovered by Dutch computer scientist E.W. Dijkstra) resolves the problem of finding the shortest path through a point in a graph (the sour
Step-1: For the current node, verify whether it contain a left child. If it has, then go to step-2 or else go to step-3 Step-2: Repeat step-1 for left child Step-3: Visit (th
stickly binary tree
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Each of the comparison in the binary search decrease the number of possible candidates where the key value can be searched by a factor of 2 as the array is divided into two halves
Limitation of Binary Search: - (i) The complexity of Binary search is O (log2 n). The complexity is similar irrespective of the position of the element, even if it is not pres
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