Sciweavers

478 search results - page 48 / 96
» Improving probability bounds by optimization over subsets
Sort
View
ICALP
2010
Springer
14 years 13 days ago
Network Design via Core Detouring for Problems without a Core
Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nod...
Fabrizio Grandoni, Thomas Rothvoß
ICCD
2004
IEEE
105views Hardware» more  ICCD 2004»
14 years 4 months ago
Circuit-Based Preprocessing of ILP and Its Applications in Leakage Minimization and Power Estimation
In this paper we discuss the application of circuit-based logical reasoning to simplify optimization problems expressed as integer linear programs (ILP) over circuit states. We de...
Donald Chai, Andreas Kuehlmann
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 7 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
ETT
2007
99views Education» more  ETT 2007»
13 years 7 months ago
On the design of rate-compatible serially concatenated convolutional codes
A powerful class of rate-compatible serially concatenated convolutional codes (SCCCs) has been proposed based on minimizing analytical upper bounds on the error probability in the ...
Alexandre Graell i Amat, Fredrik Brännstr&oum...
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 8 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking