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背包问题的解决
:给定一个超递增序列和一个背包的容量,然后在超递增序列中选(只能选一次)或不选每一个数值,使得选中...解决0/1背包问题的方法有多种,最常用的有贪婪法和动态规划法。-Knapsack problem: given a super-increasing sequence and the capacity of a backpack, and then in the ultra-increasing sequence selected (election once only) or do not choose a value for each, making selected ... to solve 0/1 knapsack problem There are many, the most commonly used are greedy and dynamic programming.
:给定一个超递增序列和一个背包的容量,然后在超递增序列中选(只能选一次)或不选每一个数值,使得选中...解决0/1背包问题的方法有多种,最常用的有贪婪法和动态规划法。-Knapsack problem: given a super-increasing sequence and the capacity of a backpack, and then in the ultra-increasing sequence selected (election once only) or do not choose a value for each, making selected ... to solve 0/1 knapsack problem There are many, the most commonly used are greedy and dynamic programming.
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