The Gilbert-Steiner problem is a mass transportation problem, where the cost of the transportation depends on the network used to move the mass and it is proportional to a certain power of the "flow". In this paper, we introduce a new formulation of the problem, which turns it into the minimization of a convex functional in a class of currents with coefficients in a group. This framework allows us to define calibrations, which can be used to prove the optimality of concrete configurations. We apply this technique to prove the optimality of a certain irrigation network, having the topological property mentioned in the title
We design combinatorial approximation algorithms for the Capacitated Steiner Network (Cap-SN) proble...
The problem of selecting the best pattern of pipe diameters of an irrigation network has long been g...
We give the first approximation algorithm for the generalized network Steiner problem, a problem in ...
The Gilbert-Steiner problem is a mass transportation problem, where the cost of the transportation d...
The Gilbert−Steiner problem is a mass transportation problem, where the cost of the transp...
This thesis models irrigation structures such as leaves venation, blood veins, lungs, etc. A model g...
A branched structure is observable in draining and irrigation systems, in electric power supply syst...
We prove the stability of optimal traffic plans in branched transport. In particular, we show that a...
The transportation problem can be formalized as the problem of finding the optimal way to transport ...
This article focuses on the landscape function, which is an essential and now standard tool to study...
Designing and optimizing different flows in networks is a relevant problem in many contexts. While a...
The irrigation problem is the problem of finding an efficient way to transport a measure μ+ onto a m...
Nowadays, some of the existing irrigation distribution networks (IDNs) are facing hydraulic performa...
Models involving branched structures are employed to describe several supply-demand systems such as ...
In this thesis we investigate variational problems involving 1-dimensional sets (e.g., curves, netwo...
We design combinatorial approximation algorithms for the Capacitated Steiner Network (Cap-SN) proble...
The problem of selecting the best pattern of pipe diameters of an irrigation network has long been g...
We give the first approximation algorithm for the generalized network Steiner problem, a problem in ...
The Gilbert-Steiner problem is a mass transportation problem, where the cost of the transportation d...
The Gilbert−Steiner problem is a mass transportation problem, where the cost of the transp...
This thesis models irrigation structures such as leaves venation, blood veins, lungs, etc. A model g...
A branched structure is observable in draining and irrigation systems, in electric power supply syst...
We prove the stability of optimal traffic plans in branched transport. In particular, we show that a...
The transportation problem can be formalized as the problem of finding the optimal way to transport ...
This article focuses on the landscape function, which is an essential and now standard tool to study...
Designing and optimizing different flows in networks is a relevant problem in many contexts. While a...
The irrigation problem is the problem of finding an efficient way to transport a measure μ+ onto a m...
Nowadays, some of the existing irrigation distribution networks (IDNs) are facing hydraulic performa...
Models involving branched structures are employed to describe several supply-demand systems such as ...
In this thesis we investigate variational problems involving 1-dimensional sets (e.g., curves, netwo...
We design combinatorial approximation algorithms for the Capacitated Steiner Network (Cap-SN) proble...
The problem of selecting the best pattern of pipe diameters of an irrigation network has long been g...
We give the first approximation algorithm for the generalized network Steiner problem, a problem in ...