The matching problem is one of our favorite benchmark problems. Work on it has contributed to the development of many core concepts of computer science, including the equation of efficiency with polynomial time computation in the groundbreaking work by Edmonds in 1965. However, half a century later, we still do not have full understanding of the complexity of the matching problem in several models of computation such as parallel, online, and streaming algorithms. In this talk we survey some of the major challenges and report some recent progress
We reduce the best known approximation ratio for finding a weighted matching of a graph using a o...
Abstract: The paper surveys the techniques used for designing the most efficient algorithms for find...
We present an assessment of the performance of a new on-line bin packing algorithm, which can interp...
Traditionally, optimization problems in operations research have been studied in a complete informat...
The best-match problem is concerned with the complexity of finding the best match between a random...
Here, the authors discuss matching problems and how the Gale-Shapley algorithm solves them, while al...
Matching theory is a core topic of both applied and theoretical graph theory, which is full of elega...
We improve the fastest known algorithm for approximate string matching. This algorithm can only be u...
This report presents algorithms for finding large matchings in the streaming model. In this model, a...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
In recent years, the growing scale of data has renewed our understanding of what is an efficient alg...
We study the maximum weight matching problem in the semi-streaming model, and improve on the current...
inding a matching is a common task in computing that F arises in physical and operational problems. ...
To estimate test reliability and to create parallel tests, test items frequently are matched. Items...
Generalized matching problems arise in a number of applications, including computational advertising...
We reduce the best known approximation ratio for finding a weighted matching of a graph using a o...
Abstract: The paper surveys the techniques used for designing the most efficient algorithms for find...
We present an assessment of the performance of a new on-line bin packing algorithm, which can interp...
Traditionally, optimization problems in operations research have been studied in a complete informat...
The best-match problem is concerned with the complexity of finding the best match between a random...
Here, the authors discuss matching problems and how the Gale-Shapley algorithm solves them, while al...
Matching theory is a core topic of both applied and theoretical graph theory, which is full of elega...
We improve the fastest known algorithm for approximate string matching. This algorithm can only be u...
This report presents algorithms for finding large matchings in the streaming model. In this model, a...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
In recent years, the growing scale of data has renewed our understanding of what is an efficient alg...
We study the maximum weight matching problem in the semi-streaming model, and improve on the current...
inding a matching is a common task in computing that F arises in physical and operational problems. ...
To estimate test reliability and to create parallel tests, test items frequently are matched. Items...
Generalized matching problems arise in a number of applications, including computational advertising...
We reduce the best known approximation ratio for finding a weighted matching of a graph using a o...
Abstract: The paper surveys the techniques used for designing the most efficient algorithms for find...
We present an assessment of the performance of a new on-line bin packing algorithm, which can interp...