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Artificial Intelligence Discussion
Search Techniques Initial Post
One of the most common methods for solving problems in Artificial Intelligence is a search.
By utilizing different search techniques, we can explore different moves that one can make in space of ‘states'. Such space is commonly known as a search space. Knowing that two the most important states are the start state and the goal state, the main task of the search would be to find a path from start state to the goal state. To accomplish such task, and thoroughly explore the search space is to utilize a search tree.
For this discussion board assignment:
Describe the Depth-first search
Describe the Breadth-first search
Explain how depth-first and breadth - first trees are explored.
Discuss what are the advantages/disadvantages of depth - first search as well as the Breadth-first search.
Create all the code for a class called ArrayQsn. This class will contain 2-techniques. The first technique runningSumMean accepts an array of ints as a parameter, and will return the mean of the values as a double.
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Compare the guidelines for preparing flowcharts and DFDs. What general design principles and limitations are common to both documentation techniques?
PLUS is a corporation that makes all types of visual aids for judicial proceedings. Customers are usually private law firms, although the District Attorney's office has occasionally contracted for its services.
Determine the minimum number of nodes in tree to remove so that the tree is separated into subtrees of sizes at most k. Give the algorithm, the correctness proof and the time complexity.
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Describe ways to generalize a simple sorting algorithm (such as insertion sort, or any other sort you are familiar with) to support this generalization
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Solve the following recurrence relations by the method of your choiceT(n) = 1 for n = 4 and T(n) =pnT(pn) + n for n > 4. Argue that the solution to the recurrence T(n) = T(n=3) + T(2n=3) + cn is (n lg n) by appealing to the recursion tree.
Write an algorithm that applies the incremental idea of the shell sort to a selection sort. The algorithm first applies the straight section sort to items n / 2 elements apart (first, middle, and last).
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