A New Relaxation in Conic Form for the Euclidean Steiner Problem in ℜ

2001 ◽  
Vol 35 (4) ◽  
pp. 383-394 ◽  
Author(s):  
Marcia Fampa ◽  
Nelson Maculan
2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Marcello Carioni ◽  
Alessandra Pluda

Abstract Calibrations are a possible tool to validate the minimality of a certain candidate. They have been introduced in the context of minimal surfaces and adapted to the case of the Steiner problem in several variants. Our goal is to compare the different notions of calibrations for the Steiner problem and for planar minimal partitions that are already present in the literature. The paper is then complemented with remarks on the convexification of the problem, on nonexistence of calibrations and on calibrations in families.


2014 ◽  
Vol 352 (5) ◽  
pp. 451-454 ◽  
Author(s):  
Antoine Lemenant ◽  
Filippo Santambrogio
Keyword(s):  

Networks ◽  
2016 ◽  
Vol 69 (1) ◽  
pp. 33-51 ◽  
Author(s):  
Andreas Bley ◽  
Ivana Ljubić ◽  
Olaf Maurer
Keyword(s):  

2013 ◽  
Vol 6 (2) ◽  
pp. 251-260
Author(s):  
Denise Halverson ◽  
Andrew Logan
Keyword(s):  

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