The Optimal Partial Transport Problem
By Alessio Figalli. 2010
229 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/d427728531a7b24e584b000e72f012f1f2cf6801
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Filippo Santambrogio
- Guido De Philippis
- Alessio Figalli
- Young-Heon Kim
- Robert J. McCann
- Brendan Pass
- Cédric Villani
- G. Peyr'e
In Computational Theory and Mathematics
- G. Peyr'e
- Filippo Santambrogio
- Guido De Philippis
- Bernhard Schmitzer
- Lénaïc Chizat
- Brendan Pass
- Franccois-Xavier Vialard
- Karl‐Theodor Sturm
Citations in the corpus
- Multi-marginal optimal transport: theory and applications (2014, background): “In the former variant, uniqueness of solutions for infimal convolution type costs has been established with Kitagawa [48], under a natural and necessary condition on the marginals, extending work in the two marginal case of Caffarelli–McCann [11] and Figalli [30].”
- BV Estimates in Optimal Transportation and Applications (2015, background): “The projection problem on Kf is a particular case of the so called partial transport problem, see [12, 13].”
- Unbalanced optimal transport: Dynamic and Kantorovich formulations (2015, background): “The minimization problem over subcouplings introduced in Theorem 5.2 is a formulation of the optimal partial transport problem, a variant of optimal transport studied in [6, 9].”
- Optimal transport from Lebesgue to Poisson (2010, background): “[Fig10] A. Figalli.”
- Screening cell–cell communication in spatial transcriptomics via collective optimal transport (2023, background): “36).”
- Hölder Continuity and Injectivity of Optimal Maps (2011, background): “This question is not merely of technical interest, since discontinuities in f± arise unavoidably in applications such as partial transport problems [10] [3] [15] [16].”
- Scaling Algorithms for Unbalanced Transport Problems (2016, methodology): “If F 3 is the indicator of equality with a positive real number, this algorithm solves the partial optimal transport problem [19, 33] but more general F 3 can be considered such as, for instance, a range constraint on the total mass.”
- The Monge–Ampère equation and its link to optimal transportation (2013, background): “In contrast with this, in [49] the author showed that C loc regularity is optimal: one can find two C ∞ densities on R, supported on two bounded intervals and bounded away from zero on their supports, such that the transport map is not C.”
- Iterative Bregman Projections for Regularized Transportation Problems (2014, unknown): “The continuous partial optimal transport problem has been studied in Caf-farelli-McCann [18] and Figalli [32].”