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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

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
A distributed detection problem over fading Gaussian multiple-access channels is considered. Sensors observe a phenomenon and… 
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… 
Highly Cited
2005
Highly Cited
2005
This paper gives some new stability sufficient conditions. It presents an extension of the classical Lyapunov theory by… 
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… 
2001
2001
In this paper we find a characterization for when a multivariable trigonometric polynomial can be written as a sum of squares. In… 
1995
1995
This paper introduces a novel, image-adaptive, encoding scheme for the baseline JPEG standard. In particular, coefficient…