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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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Related topics

Related topics

44 relations
2-satisfiabilityAMPLApproximation algorithmBetweenness

Broader (1)

Linear programming

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
A set-based framework for coherent model invalidation and parameter estimation of discrete time nonlinear systems
This work introduces a unified framework for model invalidation and parameter estimation for nonlinear systems. We consider a… 
Highly Cited
2008
Highly Cited
2008
Genetic Algorithm Based Wireless Sensor Network Localization
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor… 
2008
2008
Localization Algorithm for Wireless Sensor Network Based on Genetic Simulated Annealing Algorithm
In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor… 
2008
2008
Scalable semidefinite manifold learning
Maximum variance unfolding (MVU) is among the state of the art manifold learning (ML) algorithms and experimentally proven to be… 
Highly Cited
2005
Highly Cited
2005
Mathematics of Control , Signals , and Systems Semidefinite Lyapunov Functions Stability and Stabilization *
This paper gives some new stability sufficient conditions. It presents an extension of the classical Lyapunov theory by… 
2003
2003
Higher-order relaxations for robust LMI problems with verifications for exactness
  • C. Scherer
  • 42nd IEEE International Conference on Decision…
  • 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
LMI tools for eventually periodic systems
Focuses on the concept of an eventually periodic linear discrete-time system. We derive a necessary and sufficient analysis… 
2000
2000
FIR H/spl infin/ equalization
This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have… 
1995
1995
Joint thresholding and quantizer selection for decoder-compatible baseline JPEG
This paper introduces a novel, image-adaptive, encoding scheme for the baseline JPEG standard. In particular, coefficient… 
1991
1991
Uncertainty and Compliance of Robot Manipulators with Applications to Task Feasibility
The uncertainty and compliance of a robot manipulator used to perform a task are considered. A formula is derived for the… 
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