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CCF 202109-1 数组推导
略微观察以下A序列与B序列的关系即可 n = int(input()) ListB = list(map(int, input().split())) sumMin = 0 sumMax = 0 # 一直出现的都是最大的A sumMax = sum(ListB) # 当没有出现新的最大值B时,直接加最小值A=0 sumMin = sum(set(ListB)) print(sumMax) print(sumMin)经典dp问题,求最大的连续字段和,求出并输出该子段和的起始位置
原题: Problem DescriptionGiven a sequence a[1],a[2],a[3]......a[n], your job is to calculate the max sum of a sub-sequence. For example, given (6,-1,5,4,-7), the max sum in this sequence is 6 + (-1) + 5 + 4 = 14.<br> InputThe first line of the input c918. Maximum Sum Circular Subarray
Given a circular array C of integers represented by A, find the maximum possible sum of a non-empty subarray of C. Here, a circular array means the end of the array connects to the beginning of the array. (Formally, C[i] = A[i] when 0 <= i < A.l剑指offer30_连续子数组的最大和
题目描述 HZ偶尔会拿些专业问题来忽悠那些非计算机专业的同学。今天测试组开完会后,他又发话了:在古老的一维模式识别中,常常需要计算连续子向量的最大和,当向量全为正数的时候,问题很好解决。但是,如果向量中包含负数,是否应该包含某个负数,并期望旁边的正数会弥补它呢?例如:{6,