Revenue management can be defined as a data-driven, computerized system to support the
tactical pricing of perishable assets at the micro-market level to maximize expected …

Abstract Path Size Logit route choice models attempt to capture the correlation between
routes by including correction terms within the route utility functions. This provides a …

Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between
a discrete and a generic (possibly non-discrete) probability measure, are believed to be …

We show that the complexity of computing the second order moment bound on the expected
optimal value of a mixed integer linear program with a random objective coefficient vector is …

We extend congestion games to the setting where players need to make multiple joint
choices with interactions in a hierarchical manner (termed joint congestion game). At each …

In this paper, we study the relationship between several well known classes of discrete
choice models, ie, the random utility model (RUM), the representative agent model (RAM) …

Abstract The Stochastic User Equilibrium (SUE) model predicts traffic equilibrium flow
assuming that users choose their perceived maximum utility paths (or perceived shortest …

We study the bundle size pricing (BSP) problem where a monopolist sells bundles of
products to customers, and the price of each bundle depends only on the size (number of …

The Fréchet derivative L_f of a matrix function f:\mathbbC^n*n↦C^n*n controls the sensitivity
of the function to small perturbations in the matrix. While much is known about the properties …

The k th Fréchet derivative of a matrix function f is a multilinear operator from a cartesian
product of k subsets of the space ℂ n× n C^n*n into itself. We show that the k th Fréchet …