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This question is dynamic programming tables.
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In this question, there are consist of 4 tasks.
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Now we will discuss each one by one.
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In task 1 .1, describe what are the subproblems here and what is the size or count of subproblems.
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Now see task 1 .1, the subproblem involves finding the maximum expected profit for different combinations of houses and budget.
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The size count of subproblems is the product for the number of houses 4 and the maximum 10 million dollars.
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Resulting 4 multiplied by 10 is equal to 40 subproblems.
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This is the answer of task 1 .1.
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Now task 1 .2, describe which inputs to the knapsack problem value and size corresponds to the input in the home purchasing problem.
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Now we see the answer of this task 1 .2 in the context of the home purchasing problem.
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The first point is value corresponds to the expected profit in the next year in the percentage.
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Now second point is size corresponds to the houses prices in millions of dollars.
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This is the option.
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These are the answers of task 1 .2.
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Now coming to the next.
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Task 1 .3, fill up the following dynamic problem.
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The tables are filled using a systematic approach to solve optimization problem by breaking them down into smaller subproblems.
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These are the tables.
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In this table, the column i is equal to 0, 1, 2, 3, and 4...