问题简介 本文将介绍计算机算法中的经典问题——最大子数组问题(maximum subarray problem)。所谓的最大子数组问题,指的是:给定一个数组A,寻找A的和最大的非空连续子数组。比如,数组 A = [-2, -3, 4, -1, -2, 1, 5, -3], 最大子数组应为[4, -1, -2, 1, 5],其和为7。 首先,如果A中的元素全部为正(或非负数)
Description Find the contiguous subarray within an array (containing at least one number) which has the largest sum. For example, given the array[-2,1,-3,4,-1,2,1,-5,4], the contiguous subarray[4,-1,2,1]has the largest sum =6. Analysis 题目隶属于分治类型之下,所以最开始就会从“...
Problem Difinition: Find the contiguous subarray within an array (containing at least one number) which has the largest sum. For example, given the array[−2,1,−3,4,−1,2,1,−5,4], the contiguous subarray[4,−1,2,1]has the largest sum =6. More practice: If you have fig...
Divide and conquerX + ySublinearGiven an array A of n real numbers, the maximum subarray problem is to find a contiguous subarray which has the largest sum. The k-maximum subarrays problem is to find ksuch subarrays with the...doi:10.1007/978-3-030-34029-2_29Ovidiu Daescu...
leetcode || 53、Maximum Subarray problem: Find the contiguous subarray within an array (containing at least one number) which has the largest sum. For example, given the array [−2,1,−3,4,−1,2,1,−5,4], the contiguous subarray [4,−1,2,1] has the largest sum = 6....
本文将介绍计算机算法中的经典问题——最大子数组问题(maximum subarray problem)。所谓的最大子数组问题,指的是:给定一个数组A,寻找A的和最大的非空连续...
Ans: No, Kadane's algorithm is not a divide-and-conquer algorithm. Q5: Can Kadane's algorithm be used to solve the maximum subarray problem in two-dimensional arrays? Ans: No, Kadane's algorithm is only suitable for one-dimensional arrays. Q6: Can Kadane's algorithm be used to find the...
The maximum subarray problem is the task of finding the contiguous subarray within a one-dimensional array of numbers (containing at least one positive number) which has the largest sum. For example, for the sequence of values −2, 1, −3, 4, −1, 2, 1, −5, 4; the contiguous...
the contiguous subarray [4,-1,2,1] has the largest sum = 6. Solution1 (Brute Force) class Solution { public: int maxSubArray(vector<int>& nums) { int MaxInWhole = nums.at(0); // the max value in all the arries; for (int i = 0; i < nums.size(); i++) { ...
the contiguous subarray[4,−1,2,1]has the largest sum =6. More practice: If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle. 【题目分析】 题目要求我们在给定的一个数组中找出一个数组元素之和最大子数组,并返...