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» On the hardness of approximating Max-Satisfy
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ECCC
2007
86views more  ECCC 2007»
14 years 11 months ago
On Parameterized Approximability
Abstract. Combining classical approximability questions with parameterized complexity, we introduce a theory of parameterized approximability. The main intention of this theory is ...
Yijia Chen, Martin Grohe, Magdalena Grüber
STOC
2006
ACM
141views Algorithms» more  STOC 2006»
16 years 2 days ago
Lattice problems and norm embeddings
We present reductions from lattice problems in the 2 norm to the corresponding problems in other norms such as 1, (and in fact in any other p norm where 1 p ). We consider latt...
Oded Regev, Ricky Rosen
NETWORKS
2011
14 years 6 months ago
Line planning, path constrained network flow and inapproximability
Abstract. We consider a basic subproblem which arises in line planning, and is of particular importance in the context of a high system load or robustness: How much can be routed m...
Christina Büsing, Sebastian Stiller
ICASSP
2011
IEEE
14 years 3 months ago
SRF: Matrix completion based on smoothed rank function
In this paper, we address the matrix completion problem and propose a novel algorithm based on a smoothed rank function (SRF) approximation. Among available algorithms like FPCA a...
Hooshang Ghasemi, Mohmmadreza Malek-Mohammadi, Mas...
STOC
2004
ACM
109views Algorithms» more  STOC 2004»
16 years 2 days ago
Approximating the cut-norm via Grothendieck's inequality
The cut-norm ||A||C of a real matrix A = (aij)iR,jS is the maximum, over all I R, J S of the quantity | iI,jJ aij|. This concept plays a major role in the design of efficient app...
Noga Alon, Assaf Naor