activity
20182020
collaborators

8 papers

math.OC2020

-transport with discrete target as a combinatorial matching problem

Mohit Bansil, Jun Kitagawa

In this short note, we show that given a cost function , any coupling of two probability measures where the second is a discrete measure can be associated to a certain bipar…

math.OC2020

Computational Semi-Discrete Optimal Transport with General Storage Fees

Mohit Bansil

We propose and analyze a modified damped Newton algorithm to solve the semi-discrete optimal transport with storage fees. We prove global linear convergence for a wide range of sto…

math.AP2020

Quantitative stability in the geometry of semi-discrete optimal transport

Mohit Bansil, Jun Kitagawa

We show quantitative stability results for the geometric "cells" arising in semi-discrete optimal transport problems. Our results show two types of stability, the first is stabilit…

math.NA2019

Two Stage Algorithm for Semi-Discrete Optimal Transport on Disconnected Domains

Mohit Bansil

In this paper we present a two-stage algorithm to solve the semi-discrete Optimal Transport Problem in the case where the support of the source measure is disconnected. We establis…

math.CV2019

An Analog of the Weyl Law for the Kohn Laplacian on Spheres

Mohit Bansil, Yunus E. Zeytuncu

We present an explicit formula for the leading coefficient in the asymptotic expansion of the eigenvalue counting function of the Kohn Laplacian on the unit sphere $\mathbb{S}^{2n-…

math.NA2019

A Newton algorithm for semi-discrete optimal transport with storage fees

Mohit Bansil, Jun Kitagawa

We introduce and prove convergence of a damped Newton algorithm to approximate solutions of the semi-discrete optimal transport problem with storage fees, corresponding to a proble…