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			166 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Ruby
		
	
	
	
	
	
			
		
		
	
	
			166 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Ruby
		
	
	
	
	
	
=begin
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File: time_complexity.rb
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Created Time: 2024-03-30
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Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
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=end
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### 常數階 ###
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def constant(n)
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  count = 0
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  size = 100000
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  (0...size).each { count += 1 }
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  count
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end
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### 線性階 ###
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def linear(n)
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  count = 0
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  (0...n).each { count += 1 }
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  count
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end
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### 線性階(走訪陣列)###
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def array_traversal(nums)
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  count = 0
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  # 迴圈次數與陣列長度成正比
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  for num in nums
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    count += 1
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  end
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  count
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end
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### 平方階 ###
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def quadratic(n)
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  count = 0
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  # 迴圈次數與資料大小 n 成平方關係
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  for i in 0...n
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    for j in 0...n
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      count += 1
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    end
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  end
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  count
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end
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### 平方階(泡沫排序)###
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def bubble_sort(nums)
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  count = 0  # 計數器
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  # 外迴圈:未排序區間為 [0, i]
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  for i in (nums.length - 1).downto(0)
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    # 內迴圈:將未排序區間 [0, i] 中的最大元素交換至該區間的最右端
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    for j in 0...i
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      if nums[j] > nums[j + 1]
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        # 交換 nums[j] 與 nums[j + 1]
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        tmp = nums[j]
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        nums[j] = nums[j + 1]
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        nums[j + 1] = tmp
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        count += 3 # 元素交換包含 3 個單元操作
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      end
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    end
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  end
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  count
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end
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### 指數階(迴圈實現)###
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def exponential(n)
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  count, base = 0, 1
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  # 細胞每輪一分為二,形成數列 1, 2, 4, 8, ..., 2^(n-1)
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  (0...n).each do
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    (0...base).each { count += 1 }
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    base *= 2
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  end
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  # count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
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  count
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end
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### 指數階(遞迴實現)###
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def exp_recur(n)
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  return 1 if n == 1
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  exp_recur(n - 1) + exp_recur(n - 1) + 1
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end
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### 對數階(迴圈實現)###
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def logarithmic(n)
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  count = 0
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  while n > 1
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    n /= 2
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    count += 1
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  end
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  count
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end
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### 對數階(遞迴實現)###
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def log_recur(n)
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  return 0 unless n > 1
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  log_recur(n / 2) + 1
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end
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### 線性對數階 ###
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def linear_log_recur(n)
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  return 1 unless n > 1
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  count = linear_log_recur(n / 2) + linear_log_recur(n / 2)
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  (0...n).each { count += 1 }
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  count
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end
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### 階乘階(遞迴實現)###
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def factorial_recur(n)
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  return 1 if n == 0
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  count = 0
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  # 從 1 個分裂出 n 個
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  (0...n).each { count += factorial_recur(n - 1) }
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  count
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end
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### Driver Code ###
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if __FILE__ == $0
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  # 可以修改 n 執行,體會一下各種複雜度的操作數量變化趨勢
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  n = 8
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  puts "輸入資料大小 n = #{n}"
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  count = constant(n)
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  puts "常數階的操作數量 = #{count}"
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  count = linear(n)
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  puts "線性階的操作數量 = #{count}"
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  count = array_traversal(Array.new(n, 0))
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  puts "線性階(走訪陣列)的操作數量 = #{count}"
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  count = quadratic(n)
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  puts "平方階的操作數量 = #{count}"
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  nums = Array.new(n) { |i| n - i } # [n, n-1, ..., 2, 1]
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  count = bubble_sort(nums)
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  puts "平方階(泡沫排序)的操作數量 = #{count}"
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  count = exponential(n)
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  puts "指數階(迴圈實現)的操作數量 = #{count}"
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  count = exp_recur(n)
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  puts "指數階(遞迴實現)的操作數量 = #{count}"
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  count = logarithmic(n)
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  puts "對數階(迴圈實現)的操作數量 = #{count}"
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  count = log_recur(n)
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  puts "對數階(遞迴實現)的操作數量 = #{count}"
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  count = linear_log_recur(n)
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  puts "線性對數階(遞迴實現)的操作數量 = #{count}"
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  count = factorial_recur(n)
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  puts "階乘階(遞迴實現)的操作數量 = #{count}"
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end
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