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Circle fitting using semi-definite programming - IEEE Xplore
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This paper proposes a semi-definite programming solution for the circle fitting problem based on the semi-definite relaxation technique. The relaxation of the ...
This paper proposes a semi-definite programming solution for the circle fitting problem based on the semi- definite relaxation technique that converts a ...
Semidefinite programming (SDP) is a subfield of mathematical programming concerned with the optimization of a linear objective function
Missing: Circle fitting
Abstract. We study the problem of fitting circles (or circular arcs) to data points observed with errors in both variables. A detailed error analysis.
Missing: programming. | Show results with:programming.
In this paper we present several algorithms which compute the ellipse for which the sum of the squares of the distances to the given points is minimal. These ...
3. Combinatorial and nonconvex optimization. Semidefinite programs play a very use- ful role in nonconvex or combinatorial optimization. Consider, ...
In this paper an effi- cient semi-parametric circle fitting procedure is proposed which takes into account the phase relationships over the frequencies. It ...
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Oct 22, 2024 · This paper demonstrates that a modern optimization method known as semi-definite programming (SDP) can serve as a unified tool for circularity and spatial ...
Oct 20, 2014 · I think there's a good chance that SDP will be applied in optimal power flow problems by independent system operators, but that it depends on the extent to ...
Abstract: This study is devoted to comparing the most popular circle fits. (the geometric fit, Pratt's, Taubin's, Kеsa's) and the most recently devel-.