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- Vijay Arya, Naveen Garg, Rohit Khandekar, Adam Meyerson, Kamesh Munagala, Vinayaka Pandit
- SIAM J. Comput.
- 2001

In this paper, we analyze local search heuristics for the <italic>k</italic>-median and facility location problems. We define the {\em locality gap\/} of a local search procedure as the maximum ratio of a locally optimum solution (obtained using this procedure) to the global optimum. For <italic>k</italic>-median, we show that local search with swaps has a… (More)

We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities over a fixed set of attributes and a probability distribution over the set of entities that specifies the likelihood of the occurrence of each entity. The goal is to construct a… (More)

- Naveen Garg, Amit Kumar, Vinayaka Pandit
- FSTTCS
- 2007

We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a single type. Different components of a job are independent and can be processed in parallel on different machines. A job is considered as completed only when all its components have… (More)

In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only on the empirical evaluation of the effectiveness of sampling for the step of finding frequent itemsets. To the best of our knowledge, a theoretical framework to analyze the… (More)

- Rahul Garg, Vijay Kumar, Vinayaka Pandit
- RANDOM-APPROX
- 2001

- Narasimha R. Adiga, George Almási, +111 authors K. Yates
- SC
- 2002

This paper gives an overview of the BlueGene/L Supercomputer. This is a jointly funded research partnership between IBM and the Lawrence Livermore National Laboratory as part of the United States Department of Energy ASCI Advanced Architecture Research Program. Application performance and scaling studies have recently been initiated with partners at a… (More)

- Rohit Khandekar, Vinayaka Pandit
- STACS
- 2006

We consider the online scheduling problem for sorting buffers on a line metric. This problem is motivated by an application to disc scheduling. The input to this problem is a sequence of requests. Each request is a block of data to be written on a specified track of the disc. The disc is modeled as a number of tracks arranged on a line. To write a block on… (More)

We consider the problem of constructing decision trees for entity identification from a given table. The input is a table containing information about a set of entities over a fixed set of attributes. The goal is to construct a decision tree that identifies each entity unambiguously by testing the attribute values such that the average number of tests is… (More)

In this thesis, we develop approximation algorithms for facility location problems based on local search techniques. Facility location is an important problem in operations research. Heuristic approaches have been used to solve many variants of the problem since the 1960s. The study of approximation algorithms for facility location problems started with the… (More)