# Maximum sum rectangle in a 2d matrix brute force

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# Maximum sum rectangle in a 2d matrix brute force

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Given a 2D array, find the maximum sum subarray in it. For example, in the following 2D array, the maximum sum subarray is highlighted with blue rectangle and sum of this subarray is 29. This problem is mainly an extension of Largest Sum Contiguous Subarray for 1D array. Apr 07, 2009 · For finding the maximum subarray in a 2-D array the brute force method would take O(n 6) time. The trivial solution to it would take O(n 4) time which should be good enough for most questions on online judges. Its C++ implementation would be: Jan 03, 2018 · Given a 2D array, find the maximum sum subarray in it. For example, in the following 2D array, the maximum sum subarray is highlighted with blue rectangle and sum of this subarray is 29. This problem is mainly an extension of Largest Sum Contiguous Subarray for 1D array. Given a 2D array, find the maximum sum subarray in it. For example, in the following 2D array, the maximum sum subarray is highlighted with blue rectangle and sum of this subarray is 29. This problem is mainly an extension of Largest Sum Contiguous Subarray for 1D array.

Jun 24, 2018 · Maximum Subarray Problem. From Wikipedia. In computer science, the maximum subarray problem is the task of finding the contiguous subarray within a one-dimensional array, a[1…n], of numbers which has the largest sum. The task is to find a subarray (contiguous elements) of the given array that has the largest sum. For instance: Find submatrix with largest sum in a given 2D matrix of integers Solution: Before attempting this problem, it is important to be familiar with kadane's algorithm. Kadane's algorithm finds sub-array with maximum sum in O(n) for 1D arrays. The same algorithm can be run inside two loops to work for 2D array in this case. Example:

Given a 2D array, find the maximum sum subarray in it. For example, in the following 2D array, the maximum sum subarray is highlighted with blue rectangle and sum of this subarray is 29. This problem is mainly an extension of Largest Sum Contiguous Subarray for 1D array. The path sum is the sum of the numbers along a path. Given a triangle, find a path with maximum sum among all paths through the triangle. A brute-force solution is straightforward: (define (max-sum-path triangle); Return a pair, the car of which is the path sum of the cdr, which ; is a max path through the given Stack Exchange network consists of 177 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.