Think about the binary search tree, the hash table, and the linear array. When looking at overall efficiency of searching – compare and contrast each structure.  Which is the most efficient? Least? Why? If you had a programming assignment requiring you to design/develop a search method – which do you use?  Does it matter? What things do you use to decide?  Clearly defend your answers.  (Hint: think about best/average/worst case, additional required processing

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A: Solution:   We have to draw expression tree for the given methematical expression

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A: Given

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A: The difference between bootstrap and jackknife methods in an R code is as follows:

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A:

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Eight puzzle problem

The N-puzzle problem contains N tiles (N+1 including empty tiles) where the value of N can be 8, 15, 24, etc. The puzzle is divided into the square root of (N+1) rows and the square root of (N+1) columns. These problems have an initial state or configuration and a goal state or configuration. The puzzle can be solved by shifting the tiles one by one in the empty space. The objective is to place the numbers on the tiles to match the final state using the empty space. The other name for the N-puzzle problem is the sliding puzzle.