AbstractIn this paper we show that in sorting-based applications of parametric search, Quicksort can replace the parallel sorting algorithms that are usually advocated. Because of the simplicity of Quicksort, this may lead to applications of parametric search that are not only efficient in theory, but in practice as well. Also, we argue that Cole's optimization of certain parametric-search algorithms may be unnecessary under realistic assumptions about the input. Furthermore, we present a generic, flexible, and easy-to-use framework that greatly simplifies the implementation of algorithms based on parametric search. We use our framework to implement an algorithm that solves the Fréchet-distance problem. The implementation based on parametri...
International audienceWe describe a general framework for realistic analysis of sorting and searchin...
The long-standing problem of efficient nearest-neighbor (NN) search has ubiqui-tous applications ran...
The search for acceptable solutions in a combinatorially large problem space is an important problem...
Parametric search has been widely used in geometric al-gorithms. Cole’s improvement provides a way o...
AbstractIn this note we present two natural algorithms—one for sorting, and another for searching a ...
Heuristic search algorithms (eg. A* and IDA*) with accurate lower bounds can solve impressively larg...
Parametric search, invented by Nimrod Megiddo in 1983, is a complex yet powerful technique for solvi...
Abstract. Choosing which fast Nearest Neighbour search algorithm to use depends on the task we face....
To save memory and improve speed, vectorial data such as images and signals are often represented as...
Choosing which fast Nearest Neighbour search algorithm to use depends on the task we face. Usually k...
The advent of digital computers has made the routine use of pattern-matching possible in various app...
The advent of digital computers has made the routine use of pattern-matching possible in various app...
This paper introduces a new enumeration technique for (multi)parametric linear programs (pLPs) based...
With few exceptions, proximity search algorithms in metric spaces based on the use of pivots select ...
Some fast nearest neighbor search (NNS) algorithms using metric properties have appeared in the last...
International audienceWe describe a general framework for realistic analysis of sorting and searchin...
The long-standing problem of efficient nearest-neighbor (NN) search has ubiqui-tous applications ran...
The search for acceptable solutions in a combinatorially large problem space is an important problem...
Parametric search has been widely used in geometric al-gorithms. Cole’s improvement provides a way o...
AbstractIn this note we present two natural algorithms—one for sorting, and another for searching a ...
Heuristic search algorithms (eg. A* and IDA*) with accurate lower bounds can solve impressively larg...
Parametric search, invented by Nimrod Megiddo in 1983, is a complex yet powerful technique for solvi...
Abstract. Choosing which fast Nearest Neighbour search algorithm to use depends on the task we face....
To save memory and improve speed, vectorial data such as images and signals are often represented as...
Choosing which fast Nearest Neighbour search algorithm to use depends on the task we face. Usually k...
The advent of digital computers has made the routine use of pattern-matching possible in various app...
The advent of digital computers has made the routine use of pattern-matching possible in various app...
This paper introduces a new enumeration technique for (multi)parametric linear programs (pLPs) based...
With few exceptions, proximity search algorithms in metric spaces based on the use of pivots select ...
Some fast nearest neighbor search (NNS) algorithms using metric properties have appeared in the last...
International audienceWe describe a general framework for realistic analysis of sorting and searchin...
The long-standing problem of efficient nearest-neighbor (NN) search has ubiqui-tous applications ran...
The search for acceptable solutions in a combinatorially large problem space is an important problem...