Searching for "All-Termination(T)." – sorted by Relevance.
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An improved approximation algorithm for the 0-extension problem
- 0, and D(t, t) = 0 for all terminals t.In this case the problem amounts to minimizing the sum
- Cited by 14 (2 self) – Add To MetaCart
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Approximation algorithms for the 0-extension problem
- to functions f : V → T which are arbitrary except for the constraint that f(t) = t for all terminals t
- Cited by 37 (3 self) – Add To MetaCart
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Network Design for Vertex Connectivity
- (p) and the other endpoint lies on the prefix p(f). All terminals t(p) for p ∈ R(f) are distinct. P3. For each p ∈ R
- Cited by 2 (2 self) – Add To MetaCart
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Efficient Graph-Based Energy Minimization Methods In Computer Vision
- to all terminals by t-links (some of the t-links are omitted from the drawing for legibility). The set
- Cited by 38 (2 self) – Add To MetaCart
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Energy Minimization with Discontinuities
- has an n-link to its four neighbors. Each pixel is also connected to all terminals by t-links (some
- Cited by 6 (0 self) – Add To MetaCart
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Generic Reliability Trust Model
- an s, tpath in GS Source-to-all-terminal ∀t ∈ V (G) − s, there exists an s, tpath in GS The reliability
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Approximating the Performance of Stochastic Distribution Systems
- (x) = i =1 m p i,j i . (2.1) Let D denote those edges, all terminating at t, associated with demand
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unknown title
- terminate at t--this can be easily computed, even for general directed graphs. Then, if the path is picked
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How to pay, come what may: Approximation algorithms for demand-robust covering problems
- set of terminals {t k 1,t k 2,...}. sol(Sk) is the set of all edge sets that connect all terminals {t
- Cited by 11 (2 self) – Add To MetaCart

