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Define Dynamic Programming
Dynamic programming is a method for solving problems with overlapping problems. Typically, these sub problems arise from a recurrence relating a solution to a given problem with solutions to its smaller sub problems of the similar type. Rather than solving overlapping subproblems again and again, dynamic programming suggests solving every of the smaller sub problems only once and recording the results in a table from which we can then get a solution to the original problem.
How can we convert a graph into a tree ? Do we have any standardized algorithm for doing this?
Q. Reverse the order of the elements on a stack S (i) by using two additional stacks (ii) by using one additional queue. Ans : L e t S be the stac
Enumerate about the concept of container A Container can have a size() operation. We can also ask (somewhat redundantly) whether a Container is empty. And even though a Contain
Comparative Study of Linear and Binary Search Binary search is lots quicker than linear search. Some comparisons are following: NUMBER OF ARRAY ELEMENTS EXAMINED array
write an algorithm to search a particular node in linked list which returns " FOUND" or "NOT FOUND" as outcome.
Write an algorithm for multiplication of two sparse matrices using Linked Lists.
Q. Write down an algorithm for finding a key from a sorted list using the binary search technique or method.
Q. What is the smallest value of n such that an algorithm whose running time is 100n2 runs faster than an algorithm whose running time is 2n on the same machine. A n
how to write a pseudo code using Kramer''s rule
Define min-heap A min-heap is a complete binary tree in which each element is less than or equal to its children. All the principal properties of heaps remain valid for min-hea
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