296 search results - page 39 / 60 » Approximation Algorithms for Requirement Cut on Graphs |
SIAMJO
2010
14 years 6 months ago
2010
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
The class of piecewise linear homeomorphisms (PLH) provides a convenient functional representation for many applications wherein an approximation to data is required that is inver...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
112
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JCO
2006
14 years 11 months ago
2006
Power assignment for wireless ad hoc networks is to assign a power for each wireless node such that the induced communication graph has some required properties. Recently research ...
124
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FOCS
2008
IEEE
15 years 6 months ago
2008
IEEE
We prove that approximating the Max Acyclic Subgraph problem within a factor better than 1/2 is Unique-Games hard. Specifically, for every constant ε > 0 the following holds:...