Searching for "Approximating k." – sorted by Relevance.
-
Approximating the k-multicut problem
- Approximating the k-Multicut Problem Daniel Golovin ∗ Viswanath Nagarajan † Mohit Singh ‡ October
- Cited by 7 (0 self) – Add To MetaCart
-
On the complexity of approximating k-set packing
- On the Complexity of Approximating k-Set Packing Elad Hazan ∗ Shmuel Safra † Oded Schwartz
- Cited by 6 (0 self) – Add To MetaCart
-
Approximating k-spanner problems for k > 2
- Approximating k-Spanner Problems for k > 2 Michael Elkin ∗ David Peleg † January 13, 2005 Abstract
- Cited by 2 (0 self) – Add To MetaCart
-
On the Hardness of Approximating k-Dimensional Matching
- On the Hardness of Approximating k-Dimensional Matching E. Hazan # S. Safra # and O. Schwartz
- Add To MetaCart
-
Approximating k-outconnected Subgraph Problems
- Approximating k-outconnected Subgraph Problems Joseph Cheriyan 1 , Tibor Jord'an 2 , and Zeev
- Cited by 3 (0 self) – Add To MetaCart
-
Iterative approximation of k-limited polling systems
- Iterative approximation of k-limited polling systems M. van Vuuren 1,∗ and E.M.M. Winands 1,2,† 1
- Cited by 2 (0 self) – Add To MetaCart
-
Approximating k-median with non-uniform capacities
- Approximating k-Median with Non-Uniform Capacities Julia Chuzhoy ∗ Yuval Rabani † Abstract
- Cited by 5 (0 self) – Add To MetaCart
-
Approximating k-cuts using Network Strength as a Lagrangean Relaxation
- Approximating k-cuts using Network Strength as a Lagrangean Relaxation R. Ravi Tepper School
- Cited by 1 (0 self) – Add To MetaCart
-
The labeled cell classifier: a fast approximation to k nearest neighbors
- The labeled cell classifier: a fast approximation to k nearest neighbors ∗ Alessandro M. Palau
- Cited by 2 (0 self) – Add To MetaCart
-
Approximating k-means-type clustering via semidefinite programming
- Approximating K-means-type clustering via semidefinite programming Jiming Peng Yu Wei ∗ May 16
- Cited by 2 (1 self) – Add To MetaCart

