Efficient Algorithms for the Maximum Sum Problems
We present efficient sequential and parallel algorithms for the maximum sum (MS) problem, which is to maximize the sum of some shape in the data array. We deal with two MS problems; the maximum subarray (MSA) problem and the maximum convex sum (MCS) problem. In the MSA problem, we find a rectangular...
Main Authors: | Sung Eun Bae, Tong-Wook Shinn, Tadao Takaoka |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-01-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/10/1/5 |
Similar Items
-
Efficient Algorithms for the Maximum Convex Sum Problem
by: Thaher, Mohammed Shaban Atieh
Published: (2014) -
Randomly stopped maximum and maximum of sums with consistently varying distributions
by: Ieva Marija Andrulytė, et al.
Published: (2017-03-01) -
A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation
by: Shu Cai, et al.
Published: (2016-12-01) -
Multi-Threading a State-of-the-Art Maximum Clique Algorithm
by: Patrick Prosser, et al.
Published: (2013-10-01) -
Sequential and Parallel Algorithms for the Generalized Maximum Subarray Problem
by: Bae, Sung Eun
Published: (2008)