Semidiscrete Optimal Transport: Difference between revisions

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In particular, we will examine semidiscrete optimal transport in the case of the dual problem. The general dual problem can be stated as  
In particular, we will examine semidiscrete optimal transport in the case of the dual problem. The general dual problem can be stated as  


<math display="block"> \max \Big\{ \int_X \phi d\mu  </math>
<math display="block"> \max \Big\{ \int_X \varphi d\mu + \int_Y \psi d\nu : \varphi(x) + \psi(y) \leq c(x,y) \Big\} </math>

Revision as of 04:13, 2 June 2020

Semidiscrete optimal transport refers to situations in optimal transport where two input measures are considered, and one measure is a discrete measure and the other one is continuous. Hence, because only one of the two measures is discrete, we arrive at the appropriate name "semidiscrete."

Formulation of the Semidiscrete Dual Problem

In particular, we will examine semidiscrete optimal transport in the case of the dual problem. The general dual problem can be stated as