Identify a real time problem that can be effectively solved using divide and conquer strategy. Justify your answer with illustration?
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- What is the difference between the decrease-and-conquer strategy and the divide-and-conquer strategy? Intuitively, which strategy is more efficient? Justify your answer.Please describe the basic ideas for Divide-And-Conquer and Decrease-And-Conquer. Please indicate what are the differences between these two methods.Give two examples of Decrease and Conquer Approach.
- c. Analyze your DFA simulator pseudo-code to show its worst-case asymptotic complexity. Give your final answer in Big-Oh notation, and be sure to explain why it is so (e.g. by referring to lines in your pseudo-code).Wireless sensor networks are a type of communication network. In WSNs, sensor nodes are responsible for relaying information to and from other nodes and a central base station. Typically, a sensor node has limited resources, such as processing speed and storage space. Take a algorithm that can be decomposed into simpler issues. To solve these subproblems at separate sensor nodes, would you rather use divide and conquer or dynamic programming? Use succinct language.Describe what will happen for the following scenario when Wait/Die is adopted. What will happen when Wound/Wait is adopted? T1 R(A) W(B) T2 R(B) R(C) W(A)
- Q5. If we have 350000 training samples and Batch size is set to 50,000 then how many iterations it will take to complete 1 Epoch? --Type your answer here-Q6. Select a problem that has national significance and can be solved using a machine learning approach. Please make sure that you do not select a problem that is common, or it was used previously during the course as assignment or class exercise. Please make sure that your answer does not contain any plagiarized content. (a) Describe the problem in 150-250 words (b) Describe why this problem is an important problem (c) Describe why you think this problem can be solved using a machine learning approach. (d) Which machine learning approach is better for this problem and why? (e) List the sequence of steps that you would use in order to solve this problem using machine learning.Assume that we want to solve the problem of rescuing people in the case of earthquake, design the distributed solving process based on following strategies: 1. Task Sharing 2. Result SharingWith a short explanation, construct a scenario in which the real-world issue is resolved using a piecewise function.
- The term "communication network" may also refer to WSNs. Wireless sensor networks relay information between individual nodes and a central hub. Power and storage on a sensor node are limited. Take, for example, an algorithm that can be solved by solving subproblems. In order to solve these sub-problems at separate sensor nodes, would you prefer use divide & conquer or dynamic programming? Try to keep your writing short and sweet.When you are trying to solve an issue, do you tend to depend more on algorithms or heuristics? The following is a list of the advantages that each strategy offers:Which design strategy does the following algorithm use? Algorithm X(T) if T = Ø return 0 else if TL = Ø and TR = Ø return 1 else return X(TL) + X(TR) Divide-and-conquer Decrease-and-conquer Transform-and-Conquer Brute Force