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Semidefinite programming

Known as: Semi-definite programming, Semidefinite programs 
Semidefinite programming (SDP) is a subfield of convex optimization concerned with the optimization of a linear objective function (an objective… 
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Papers overview

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Highly Cited
2013
Highly Cited
2013
Triple patterning lithography (TPL) has received more and more attentions from industry as one of the leading candidate for 14nm… 
Highly Cited
2010
Highly Cited
2010
This paper presents a canonical duality theory for solving quadratic minimization problems subjected to either box or integer… 
2009
2009
This work introduces a unified framework for model invalidation and parameter estimation for nonlinear systems. We consider a… 
Highly Cited
2008
Highly Cited
2008
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor… 
2004
2004
The inverse eigenvalue problem of constructing real and symmetric square matrices M, C, and K of size $n \times n$ for the… 
Highly Cited
2002
Highly Cited
2002
Focuses on the concept of an eventually periodic linear discrete-time system. We derive a necessary and sufficient analysis… 
2000
2000
The problem of optimizing a linear objective over a set of frequency dependent linear matrix inequalities (LMIs) can frequently… 
1995
1995
This paper introduces a novel, image-adaptive, encoding scheme for the baseline JPEG standard. In particular, coefficient…