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JMLR
2010
136views more  JMLR 2010»
13 years 4 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan
MP
2002
93views more  MP 2002»
13 years 9 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...
CORR
2011
Springer
220views Education» more  CORR 2011»
13 years 4 months ago
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (glo...
Thomas Schoenemann, Simon Masnou, Daniel Cremers
DAC
2006
ACM
14 years 10 months ago
Optimization of area under a delay constraint in digital filter synthesis using SAT-based integer linear programming
In this paper, we propose an exact algorithm for the problem of area optimization under a delay constraint in the synthesis of multiplierless FIR filters. To the best of our knowl...
Eduardo A. C. da Costa, José Monteiro, Leve...
CP
2006
Springer
14 years 1 months ago
Approximability of Integer Programming with Generalised Constraints
We study a family of problems, called Maximum Solution, where the objective is to maximise a linear goal function over the feasible integer assignments to a set of variables subjec...
Peter Jonsson, Fredrik Kuivinen, Gustav Nordh