Iwano, et al. [8] have given an approximate binary search algorithm for computing max mean cuts. This paper gives a short proof of the correctness of their algorithm. It also shows how their algorithm can be dualized to an approximate binary search algorithm for computing min mean cycles that is as fast as but simpler than Orlin and Ahuja’s algorithm [12].
Summary We discuss two simple strategies for constructing binary search trees: Place the most frequ...
. We propose a simple but efficient algorithm for searching all occurrences of a pattern or a class ...
Abstract. Maximum flow and minimum s-t cut algorithms are used to solve several fundamental problems...
Most primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancelling negati...
AbstractMost primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancellin...
In this paper, we suggest new scaling algorithms for the assignment and minimum cycle mean problems....
In Lecture 2, we discussed the unweighted max cut problem and gave 2-approximation algorithms based ...
AbstractAn approximation algorithm for the maximum cut problem is designed and analyzed; its perform...
In this paper, we present an efficient method to find maximal mean subsequence (MMS) for a given seq...
A sublinear time subquadratic work parallel algorithm for construction of an optimal binary search t...
An algorithm is presented which constructs an optimal binary search tree for an ordered list of n it...
The search for acceptable solutions in a combinatorially large problem space is an important problem...
When doing a searching process, Binary Search is one of the classic algorithm used in sorted data. T...
We consider directed graphs where each edge is labeled with an integer weight and study the fundamen...
We present a comprehensive experimental study of ten leading algorithms for the minimum mean cycle p...
Summary We discuss two simple strategies for constructing binary search trees: Place the most frequ...
. We propose a simple but efficient algorithm for searching all occurrences of a pattern or a class ...
Abstract. Maximum flow and minimum s-t cut algorithms are used to solve several fundamental problems...
Most primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancelling negati...
AbstractMost primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancellin...
In this paper, we suggest new scaling algorithms for the assignment and minimum cycle mean problems....
In Lecture 2, we discussed the unweighted max cut problem and gave 2-approximation algorithms based ...
AbstractAn approximation algorithm for the maximum cut problem is designed and analyzed; its perform...
In this paper, we present an efficient method to find maximal mean subsequence (MMS) for a given seq...
A sublinear time subquadratic work parallel algorithm for construction of an optimal binary search t...
An algorithm is presented which constructs an optimal binary search tree for an ordered list of n it...
The search for acceptable solutions in a combinatorially large problem space is an important problem...
When doing a searching process, Binary Search is one of the classic algorithm used in sorted data. T...
We consider directed graphs where each edge is labeled with an integer weight and study the fundamen...
We present a comprehensive experimental study of ten leading algorithms for the minimum mean cycle p...
Summary We discuss two simple strategies for constructing binary search trees: Place the most frequ...
. We propose a simple but efficient algorithm for searching all occurrences of a pattern or a class ...
Abstract. Maximum flow and minimum s-t cut algorithms are used to solve several fundamental problems...
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