Computational Geometry on Data Structure and Algorithms related Questions and Answers - Page 2

Question 11 : In divide and conquer, the time is taken for merging the subproblems is?
1. O(N)
2. O(N log N)
3. O(N2)
4. O(log N)
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Question 12 : What is the optimal time required for solving the closest pair problem using divide and conquer approach?
1. O(N)
2. O(log N)
3. O(N log N)
4. O(N2)
5.
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Question 13 : Manhattan distance is an alternative way to define a distance between two points.
1. true
2. false
3.
4.
5.
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Question 14 : Which of the following is similar to Euclidean distance?
1. Manhattan distance
2. Pythagoras metric
3. Chebyshev distance
4. Heuristic distance
5.
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Question 15 : What is the basic operation of closest pair algorithm using brute force technique?
1. Euclidean distance
2. Radius
3. Area
4. Manhattan distance
5.
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Question 16 : The most important condition for which closest pair is calculated for the points (pi, pj) is?
1. i>j
2. i!=j
3. i=j
4. i<j
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Question 17 : What is the runtime efficiency of using brute force technique for the closest pair problem?
1. O(N)
2. O(N log N)
3. O(N2)
4. O(N3 log N)
5.
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Question 18 : Which approach is based on computing the distance between each pair of distinct points and finding a pair with the smallest distance?
1. Brute force
2. Exhaustive search
3. Divide and conquer
4. Branch and bound
5.
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Question 19 : Which of the following areas do closest pair problem arise?
1. computational geometry
2. graph colouring problems
3. numerical problems
4. string matching
5.
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Question 20 : In divide and conquer, the time is taken for merging the subproblems is?
1. O(N)
2. O(N log N)
3. O(N2)
4. O(log N)
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