We define a natural notion of efficiency for approximate nearest-neighbor (ANN) search in general n-point metric spaces, namely the existence of a randomized algorithm which answ...
d Abstract] Christoph Lenzen Computer Engineering and Networks Laboratory (TIK) ETH Zurich, 8092 Zurich, Switzerland lenzen@tik.ee.ethz.ch Thomas Locher Computer Engineering and N...
Christoph Lenzen, Thomas Locher, Roger Wattenhofer
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...