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Diffusion Approximation for Fair Resource Control-Interchange of Limits Under a Moment Condition

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2021; 46 (3)

In a prior study [Ye HQ, Yao DD (2016) Diffusion limit of fair resource control- Stationary and interchange of limits. Math. Oper. Res. 41(4):1161-120......

Universal Barrier Is n-Self-Concordant

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2021; 46 (3)

This paper shows that the self-concordance parameter of the universal barrier on any n-dimensional proper convex domain is upper bounded by n. This bo......

Stochastic Load Balancing on Unrelated Machines

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2021; 46 (1)

We consider the problem of makespan minimization on unrelated machines when job sizes are stochastic. The goal is to find a fixed assignment of jobs t......

Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2021; 46 (1)

We introduce a unified algorithmic framework, called the proximal-like incremental aggregated gradient (PLIAG) method, for minimizing the sum of a con......

Optimal Redeeming Strategy of Stock Loans Under Drift Uncertainty

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2020; 45 (1)

In practice, one must recognize the inevitable incompleteness of information while making decisions. In this paper, we consider the optimal redeeming ......

On the Efficiency of Random Permutation for ADMM and Coordinate Descent

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2020; 45 (1)

Random permutation is observed to be powerful for optimization algorithms: for multiblock ADMM (alternating direction method of multipliers), whereas ......

Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2019; 44 (1)

We study the stochastic versions of a broad class of combinatorial problems where the weights of the elements in the input data set are uncertain. The......

JIF:1.59

Discrete Approximation and Quantification in Distributionally Robust Optimization

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2019; 44 (1)

Discrete approximation of probability distributions is an important topic in stochastic programming. In this paper, we extend the research on this top......

JIF:1.59

Perfect Sampling of Generalized Jackson Networks

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2019; 44 (2)

We provide the first perfect sampling algorithm for a generalized Jackson network of first-in, first-out queues under arbitrary topology and non-Marko......

JIF:1.59

On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2019; 44 (2)

In this paper, we consider the linearly constrained composite convex optimization problem, whose objective is a sum of a smooth function and a possibl......

JIF:1.59

Completely Positive Binary Tensors

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2019; 44 (3)

A symmetric tensor is completely positive (CP) if it is a sum of tensor powers of nonnegative vectors. This paper characterizes completely positive bi......

JIF:1.59

Instantaneous Control of Brownian Motion with a Positive Lead Time

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2019; 44 (3)

Consider a storage system where the content is driven by a Brownian motion in the absence of control. At any time, one may increase or decrease the co......

JIF:1.59

Optimal Consumption and Portfolio Selection with Early Retirement Option

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2018; 43 (4)

In this paper we propose an approach to investigate a model of consumption and investment with a mandatory retirement date and early retirement option......

JIF:1.59

Random Projections for Linear Programming

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2018; 43 (4)

Random projections are random linear maps, sampled from appropriate distributions, which approximately preserve certain geometrical invariants so that......

JIF:1.59

Generalized Conjugate Gradient Methods for l(1) Regularized Convex Quadratic Programming with Finite Convergence

期刊: MATHEMATICS OF OPERATIONS RESEARCH, 2018; 43 (1)

The conjugate gradient (CG) method is an efficient iterative method for solving large-scale strongly convex quadratic programming (QP). In this paper,......

JIF:1.59

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