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Q. Explain Time Complexity in Parallel algorithms?
As it takes place nearly everyone who implement algorithms wish to know how much of an individual resource (for example time or storage) is needed for a given algorithm. The parallel architectures have been intended for improving computation power of several algorithms. So the main concern of evaluating an algorithm is the determination of amount of time needed to execute. Generally the time complexity is computed on the grounds of total number of steps implemented to achieve the desired output.
The Parallel algorithms generally divide the problem in more asymmetrical or symmetrical sub problems and shift them to various processors and put results back together at one end. The resource utilization in concurrent algorithms is both the communication overhead between the processors and also processor cycles on each processor.
Artificial Intelligence 1. Explain about artificial intelligence? What are the achievements of AI? 2. Elaborate state space search briefly. 3. Prove that A* is optimal.
write algorithm and draw flowchart for exchange the values of two variables.
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how to determiner time complexity of any given polynomial in data structure?
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Q. Salient features of direct addressing mode? A number of salient points about this technique are: This scheme offers a limited address space since if address field has
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