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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
2008
Highly Cited
2008
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor… 
2008
2008
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor… 
2007
2007
Enhancing the connectivity of wireless sensor networks is necessary to avoid the occurrence of coverage gaps. In this paper, we… 
Highly Cited
2005
Highly Cited
2005
This paper gives some new stability sufficient conditions. It presents an extension of the classical Lyapunov theory by… 
2005
2005
This correspondence considers an optimum nonuniform finite impulse response (FIR) transmultiplexer design problem subject to… 
2003
2003
  • C. Scherer
  • 2003
  • Corpus ID: 118031373
Robust semi-definite programming problems are know to have a wide range of applications, in particular in robust control. For… 
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
Extending the previous work of Monteiro and Pang (1998), this paper studies properties of fundamental maps that can be used to… 
Highly Cited
2000
Highly Cited
2000
  • Wu-Sheng Lu
  • 2000
  • Corpus ID: 34582762
Semidefinite programming (SDP) has recently been found useful in designing various types of FIR digital filters. This paper… 
1991
1991
The uncertainty and compliance of a robot manipulator used to perform a task are considered. A formula is derived for the…