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FAQ:
Q: What is parallel algorithm analysis?
A: Parallel Algorithm – Analysis. Analysis of an algorithm helps us determine whether the algorithm is useful or not. Generally, an algorithm is analyzed based on its execution time (Time Complexity) and the amount of space (Space Complexity) it requires.
Q: What is the best case complexity of an algorithm?
A: Best-case complexity − When the amount of time required by an algorithm for a given input is minimum. The complexity or efficiency of an algorithm is the number of steps executed by the algorithm to get the desired output. Asymptotic analysis is done to calculate the complexity of an algorithm in its theoretical analysis.
Q: How does the number of processors affect the cost of parallel algorithms?
A: Larger the number of processors used by an algorithm to solve a problem, more costly becomes the obtained result. Total cost of a parallel algorithm is the product of time complexity and the number of processors used in that particular algorithm.
Q: What is analysis of an algorithm?
A: Analysis of an algorithm helps us determine whether the algorithm is useful or not. Generally, an algorithm is analyzed based on its execution time (Time Complexity) and the amount of space (Space Complexity) it requires. Since we have sophisticated memory devices available at reasonable cost, storage space is no longer an issue.