For a given set S of n real numbers, there are totally 2n1 different subsets excluding the empty set. The subset sum problem is defined as finding L subsets whose summation of subset elements are the L smallest among all possible subsets. This problem has many applications in operations ...
Subset-sum problemNP-hard problemWe present BalsubLast, which is an improved balanced algorithm for the Subset-Sum Problem that was designed to solve benchmarks that require the exhaustion of the search space and where there are many subsets with the same sum. This new algorithm, which spends...
This is recursively applied to all the subsets until its entropy is zero. The decision tree so created is used for fast detection in other images. Non-maximal Suppression Detecting multiple interest points in adjacent locations is another problem. It is solved by using Non-maximum Suppression. Co...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
SquenceProblemLevelLanguageTagsVideo Tutorial 0Anagrams.javaMediumJava[] 1Binary Representation.javaHardJava[] 2Binary Tree Level Order Traversal II.javaMediumJava[] 3Binary Tree Level Order Traversal.java[] 4Binary Tree Longest Consecutive Sequence.javaMediumJava[] ...
Abdel-Basset M, Chang V, Mohamed R (2020) HSMA_WOA: a hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images. Appl Soft Comput 95:106642 Article Google Scholar Zhong C, Li G, Meng Z (2022) A hybrid teaching...
In recent years, the XACML (eXtensible Access Control Markup Language) is widely used in a variety of research fields, especially in access control. However, when policy sets defined by the XACML become large and complex, the policy evaluation time incre
However, medical datasets are often imbalanced [1], for example, the non-patients/negative class set, has far more samples than the patients/positive class set. And the class imbalance problem is a typical problem in classification tasks [2]. When the dataset is imbalanced, in order to ...
2461.Maximum-Sum-of-Distinct-Subarrays-With-Length-K (M) 2537.Count-the-Number-of-Good-Subarrays (M+) 3298.Count-Substrings-That-Can-Be-Rearranged-to-Contain-a-String-II (M+) 3306.Count-of-Substrings-Containing-Every-Vowel-and-K-Consonants-II (H-) Two pointers for two sequences 986...
We can see that theR_{i}^{T}measures the utility distance between\sigma^t_iand the Nash equilibrium strategy\sigma_i^*for playeri. Then it comes the key theorem that opens a possibility of Nash equilibrium approximation: Theorem-1: In a zero-sum game at timeT, if both player’s avera...