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	10c397b172
	
	
	
		
			
			* feat: Add Dart codes for chapter_dynamic_programming * feat: Add Dart codes for chapter_greedy
		
			
				
	
	
		
			48 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Dart
		
	
	
	
	
	
			
		
		
	
	
			48 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Dart
		
	
	
	
	
	
| /**
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|  * File: fractional_knapsack.dart
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|  * Created Time: 2023-08-11
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|  * Author: liuyuxin (gvenusleo@gmail.com)
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|  */
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| 
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| /* 物品 */
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| class Item {
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|   int w; // 物品重量
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|   int v; // 物品价值
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| 
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|   Item(this.w, this.v);
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| }
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| 
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| /* 分数背包:贪心 */
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| double fractionalKnapsack(List<int> wgt, List<int> val, int cap) {
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|   // 创建物品列表,包含两个属性:重量、价值
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|   List<Item> items = List.generate(wgt.length, (i) => Item(wgt[i], val[i]));
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|   // 按照单位价值 item.v / item.w 从高到低进行排序
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|   items.sort((a, b) => (b.v / b.w).compareTo(a.v / a.w));
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|   // 循环贪心选择
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|   double res = 0;
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|   for (Item item in items) {
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|     if (item.w <= cap) {
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|       // 若剩余容量充足,则将当前物品整个装进背包
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|       res += item.v;
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|       cap -= item.w;
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|     } else {
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|       // 若剩余容量不足,则将当前物品的一部分装进背包
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|       res += item.v / item.w * cap;
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|       // 已无剩余容量,因此跳出循环
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|       break;
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|     }
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|   }
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|   return res;
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| }
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| 
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| /* Driver Code */
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| void main() {
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|   List<int> wgt = [10, 20, 30, 40, 50];
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|   List<int> val = [50, 120, 150, 210, 240];
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|   int cap = 50;
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| 
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|   // 贪心算法
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|   double res = fractionalKnapsack(wgt, val, cap);
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|   print("不超过背包容量的最大物品价值为 $res");
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| }
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