答: # 动态规划示例 def max_value(weight, values, capacity): n = len(weight) # 计算物品个数 dp = [[0 for _ in range(capacity+1)] for _ in range(n+1)] # 初始化二维数组 for i in range(1, n+1): for j in range(1, capacity+1 ): if weight[i-1] > j: dp[i][j] = dp[i-1][j] else: dp[i][j] = max(values[i-1] + dp[i-1][j - weight[i-1]], dp[i-1][j] ) return dp[n][capacity] # 测试用例 weight = [2, 2, 6, 5, 4] # 物品的重量 values = [6, 3, 5, 4, 6] # 物品的价值 capacity = 10 # 总容量 print('最大物品价值为:', max_value(weight, values, capacity))