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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
14 years 2 months ago
Parameter estimation with expected and residual-at-risk criteria
In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El G...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
13 years 12 months ago
Semidefinite programming methods for system realization and identification
We describe semidefinite programming methods for system realization and identification. For each of these two applications, a variant of a simple subspace algorithm is presented, i...
Zhang Liu, Lieven Vandenberghe
JMLR
2010
136views more  JMLR 2010»
13 years 2 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
CORR
2007
Springer
76views Education» more  CORR 2007»
13 years 8 months ago
Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms
Abstract. The simplex method in Linear Programming motivates several problems of asymptotic convex geometry. We discuss some conjectures and known results in two related directions...
Roman Vershynin
TIT
2010
90views Education» more  TIT 2010»
13 years 2 months ago
Correcting limited-magnitude errors in the rank-modulation scheme
We study error-correcting codes for permutations under the infinity norm, motivated the rank-modulation scheme for flash memories. In this scheme, a set of n flash cells are combin...
Itzhak Tamo, Moshe Schwartz