Shubha 🧟♀️ #19
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Shubha 🧟♀️ #19
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CheezItMan
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Oct 17, 2019
CheezItMan
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Nice work, you fully applied dynamic programming to these solutions. Well done!
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def max_sub_array(nums) |
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| return nil if nums == nil || nums.empty? | ||
| max = nums[0] | ||
| curr_max = nums[0] | ||
| (1...nums.length).each do |i| | ||
| curr_max = curr_max + nums[i] | ||
| if nums[i] > curr_max | ||
| max = nums[i] if nums[i] > max | ||
| curr_max = nums[i] | ||
| else | ||
| max = curr_max if curr_max > max | ||
| end | ||
| end | ||
| return max |
| # Space Complexity: ? | ||
| # Time complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def newman_conway(num) |
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| seq = [0, 1, 1] | ||
| raise ArgumentError if num <= 0 | ||
| return seq[1..num].join(' ')if num == 1 || num == 2 | ||
| (3..num).each do |i| | ||
| seq[i] = seq[seq[i-1]] + seq[i - seq[i - 1]] | ||
| end | ||
| return seq[1..num].join(' ') | ||
| end |
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