Results 71 to 80 of about 19,030 (190)
Learning in random utility models via online decision problems
Abstract This paper examines the Random Utility Model (RUM) in repeated stochastic choice settings where decision‐makers lack full information about payoffs. We propose a gradient‐based learning algorithm that embeds RUM into an online decision‐making framework.
Emerson Melo
wiley +1 more source
Robust design of flexible supply chains with mobile and modular facilities
Abstract Modular manufacturing is increasingly being adopted by the chemical industry in applications where resource availability and product demand are highly distributed and uncertain. Modular plants are often built such that they can be easily relocated.
Congqin Ge, Zhihong Yuan, Qi Zhang
wiley +1 more source
Ellipsoid Method for Linear Regression Parameters Determination
Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
doaj +1 more source
A Study on Distributed Optimization over Large-Scale Networked Systems
Distributed optimization is a very important concept with applications in control theory and many related fields, as it is high fault-tolerant and extremely scalable compared with centralized optimization.
Hansi K. Abeynanda, G. H. J. Lanel
doaj +1 more source
Simultaneous Feature Selection for Optimal Dynamic Treatment Regimens
ABSTRACT Dynamic treatment regimens (DTRs), where treatment decisions are tailored to individual patient's characteristics and evolving health status over multiple stages, have gained increasing interest in the modern era of precision medicine. Identifying important features that drive these decisions over stages not only leads to parsimonious DTRs for
Mochuan Liu, Yuanjia Wang, Donglin Zeng
wiley +1 more source
Tropical analysis: With an application to indivisible goods
We establish the subgradient theorem for monotone correspondences: a monotone correspondence is equal to the subdifferential of a potential if and only if it is conservative, i.e., its integral along a closed path vanishes irrespective of the selection from the correspondence along the path.
Nicholas C. Bedard, Jacob K. Goeree
wiley +1 more source
Duality Between Subgradient and Conditional Gradient Methods [PDF]
Given a convex optimization problem and its dual, there are many possible first-order algorithms. In this paper, we show the equivalence between mirror descent algorithms and algorithms generalizing the conditional gradient method. This is done through convex duality, and implies notably that for certain problems, such as for supervised machine ...
openaire +3 more sources
Estimation of the Error Structure in Multivariate Response Linear Regression Models
ABSTRACT Multivariate response linear regression model considers how a set of covariates affects multiple responses. In contrast to separately running univariate regression for each response, multivariate response regression can better estimate the coefficient matrix by exploiting shared information among the responses.
Ruobin Liu, Guo Yu
wiley +1 more source
Let VIP indicate the variational inequality problem with Lipschitzian and pseudomonotone operator and let CFPP denote the common fixed-point problem of an asymptotically nonexpansive mapping and a strictly pseudocontractive mapping in a real Hilbert ...
Lu-Chuan Ceng +3 more
doaj +1 more source
Integrated column generation for volunteer‐based delivery assignment and route optimization
Abstract This study develops an integrated delivery assignment and route planning strategy for food banking operations, considering food supply and demand constraints, food item restrictions, and vehicle capacity constraints. A mixed‐integer linear model is formulated to maximize the total demand served and minimize the total travel cost imposed on ...
Asya Atik +3 more
wiley +1 more source

