Maximum Subarray: Difference between revisions
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== Table of Algorithms == | == Table of Algorithms == | ||
{| class="wikitable sortable" style="text-align:center;" width="100%" | |||
! Name !! Year !! Time !! Space !! Approximation Factor !! Model !! Reference | |||
|- | |||
| [[Brute Force (1D Maximum Subarray Maximum Subarray Problem)|Brute Force]] || 1977 || $O(n^{3})$ || $O({1})$ auxiliary || Exact || Deterministic || | |||
|- | |||
| [[Grenander (1D Maximum Subarray Maximum Subarray Problem)|Grenander]] || 1977 || $O(n^{2})$ || $O(n)$ || Exact || Deterministic || | |||
|- | |||
| [[Faster Brute Force (via x(L:U) = x(L:U-1)+x(U)) (1D Maximum Subarray Maximum Subarray Problem)|Faster Brute Force (via x(L:U) = x(L:U-1)+x(U))]] || 1977 || $O(n^{2})$ || $O({1})$ auxiliary || Exact || Deterministic || [https://dl.acm.org/doi/pdf/10.1145/358234.381162 Time] | |||
|- | |||
| [[Shamos (1D Maximum Subarray Maximum Subarray Problem)|Shamos]] || 1978 || $O(nlogn)$ || $O(log n)$ auxiliary || Exact || Deterministic || | |||
|- | |||
| [[Kadane's Algorithm (1D Maximum Subarray Maximum Subarray Problem)|Kadane's Algorithm]] || 1982 || $O(n)$ || $O({1})$ auxiliary || Exact || Deterministic || | |||
|- | |||
| [[Perumalla and Deo (1D Maximum Subarray Maximum Subarray Problem)|Perumalla and Deo]] || 1995 || $O(log n)$ || $O(n)$ auxiliary || Exact || Parallel || [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.24.1291&rep=rep1&type=pdf Time] | |||
|- | |||
| [[Gries (1D Maximum Subarray Maximum Subarray Problem)|Gries]] || 1982 || $O(n)$ || $O({1})$ auxiliary || Exact || Deterministic || [https://www-sciencedirect-com.ezproxy.canberra.edu.au/science/article/pii/0167642383900151?via%3Dihub Time] | |||
|- | |||
| [[Bird (1D Maximum Subarray Maximum Subarray Problem)|Bird]] || 1989 || $O(n)$ || $O({1})$ auxiliary || Exact || Deterministic || [https://dl-acm-org.ezproxy.canberra.edu.au/doi/10.1093/comjnl/32.2.122 Time] | |||
|- | |||
| [[Ferreira, Camargo, Song (1D Maximum Subarray Maximum Subarray Problem)|Ferreira, Camargo, Song]] || 2014 || $O(log n)$ || $O(n)$ auxiliary || Exact || Parallel || [https://ieeexplore-ieee-org.ezproxy.canberra.edu.au/document/6972008 Time] | |||
|- | |||
|} | |||
== Reductions TO Problem == | == Reductions TO Problem == |
Revision as of 13:04, 15 February 2023
Description
Given a $d$-dimensional array $M$ with $n^d$ real-valued entries, find the $d$-dimensional subarray of $M$ which maximizes the sum of the elements it contains.
Related Problems
Subproblem: 1D Maximum Subarray, 2D Maximum Subarray, Maximum Square Subarray
Related: 2D Maximum Subarray, Maximum Square Subarray
Parameters
n: length of array
d: dimensionality of array
Table of Algorithms
Name | Year | Time | Space | Approximation Factor | Model | Reference |
---|---|---|---|---|---|---|
Brute Force | 1977 | $O(n^{3})$ | $O({1})$ auxiliary | Exact | Deterministic | |
Grenander | 1977 | $O(n^{2})$ | $O(n)$ | Exact | Deterministic | |
Faster Brute Force (via x(L:U) = x(L:U-1)+x(U)) | 1977 | $O(n^{2})$ | $O({1})$ auxiliary | Exact | Deterministic | Time |
Shamos | 1978 | $O(nlogn)$ | $O(log n)$ auxiliary | Exact | Deterministic | |
Kadane's Algorithm | 1982 | $O(n)$ | $O({1})$ auxiliary | Exact | Deterministic | |
Perumalla and Deo | 1995 | $O(log n)$ | $O(n)$ auxiliary | Exact | Parallel | Time |
Gries | 1982 | $O(n)$ | $O({1})$ auxiliary | Exact | Deterministic | Time |
Bird | 1989 | $O(n)$ | $O({1})$ auxiliary | Exact | Deterministic | Time |
Ferreira, Camargo, Song | 2014 | $O(log n)$ | $O(n)$ auxiliary | Exact | Parallel | Time |
Reductions TO Problem
Problem | Implication | Year | Citation | Reduction |
---|---|---|---|---|
Distance Product | if: to-time: $O(n^{3-\epsilon})$ for some $\epsilon > {0}$ then: from-time: $O(n^{3-\epsilon})$ |
1998 | https://dl-acm-org.ezproxy.canberra.edu.au/doi/abs/10.5555/314613.314823 | link |
Negative Triangle Detection | 1998 | https://dl-acm-org.ezproxy.canberra.edu.au/doi/abs/10.5555/314613.314823 | link |
Reductions FROM Problem
Problem | Implication | Year | Citation | Reduction |
---|---|---|---|---|
Negative Triangle Detection | 2018 | https://dl-acm-org.ezproxy.canberra.edu.au/doi/pdf/10.1145/3186893, Theorem 5.4 | link | |
Max-Weight k-Clique | if: to-time: $O(n^{d+\lfloor d/{2}\rfloor-\epsilon})$ for $d$-dimensional hypercube arrays then: from-time: $O(n^{k-\epsilon})$ on $n$ vertex graphs for $k=d+\lfloor d/{2}\rfloor$ |
2016 | https://arxiv.org/pdf/1602.05837.pdf | link |