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CIAC
2010
Springer
246views Algorithms» more  CIAC 2010»
15 years 4 months ago
Capacitated Confluent Flows: Complexity and Algorithms
A flow on a directed network is said to be confluent if the flow uses at most one outgoing arc at each node. Confluent flows arise naturally from destination-based routing. We stud...
Daniel Dressler and Martin Strehler
PODS
2006
ACM
134views Database» more  PODS 2006»
16 years 1 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor
ECCC
2006
88views more  ECCC 2006»
15 years 1 months ago
Hardness of Directed Routing with Congestion
Given a graph G and a collection of source-sink pairs in G, what is the least integer c such that each source can be connected by a path to its sink, with at most c paths going th...
Julia Chuzhoy, Sanjeev Khanna
ATMOS
2010
183views Optimization» more  ATMOS 2010»
15 years 13 days ago
The Complexity of Integrating Routing Decisions in Public Transportation Models
To model and solve optimization problems arising in public transportation, data about the passengers is necessary and has to be included in the models in any phase of the planning...
Marie Schmidt, Anita Schöbel
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 7 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall