2D Maximum Subarray (Maximum Subarray Problem)

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Revision as of 10:23, 15 February 2023 by Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:2D Maximum Subarray (Maximum Subarray Problem)}} == Description == Given an $n \times n$ matrix $A$ of integers, find $i, j, k,l \in (n)$ with $i \leq j, k \leq l$ maximizing $\sum^j_{x=i}\sum^l_{y=k}A(x,y)$, that is, find a contiguous subarray of $A$ of maximum sum == Related Problems == Generalizations: Maximum Subarray Related: 1D Maximum Subarray, Maximum Square Subarray == Parameters == <pre>n: dimension of array</pre> == Table o...")
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Description

Given an $n \times n$ matrix $A$ of integers, find $i, j, k,l \in (n)$ with $i \leq j, k \leq l$ maximizing $\sum^j_{x=i}\sum^l_{y=k}A(x,y)$, that is, find a contiguous subarray of $A$ of maximum sum

Related Problems

Generalizations: Maximum Subarray

Related: 1D Maximum Subarray, Maximum Square Subarray

Parameters

n: dimension of array

Table of Algorithms

Currently no algorithms in our database for the given problem.

Reductions FROM Problem

Problem Implication Year Citation Reduction
Negative Triangle Detection if: to-time: $O(n^{3-\epsilon})$ on $n\times n$ matrices
then: from-time: $O(n^{3-\epsilon})$ on $n$ vertex graphs
2016 https://arxiv.org/pdf/1602.05837.pdf link
Weighted, Undirected APSP if: to-time: $O(n^{3-\epsilon})$ on $n\times n$ matrices
then: from-time: $O(n^{3-\epsilon/{1}0})$ on $n$ vertex graphs
2016 https://arxiv.org/pdf/1602.05837.pdf link

References/Citation

https://www.sciencedirect.com/science/article/pii/S1571066104003135?via%3Dihub