Integer programming and combinatorial optimization form the backbone of many decision-making and resource allocation problems across diverse fields, from logistics and telecommunications to finance ...

A timetabling problem is formulated as a large integer linear programming problem in 0-1 variables. A solution method based on Lagrangean relaxation coupled with subgradient optimization is presented.

Abstract: Skip connections have emerged as a key component of modern convolutional neural networks (CNNs) for computer vision tasks, allowing for the creation of more accurate and deeper models by ...

Interfaces, Vol. 42, No. 2, Analytics in Sports, Part I: General Sports Applications (March-April 2012), pp. 191-198 (8 pages) In this paper, we present a binary integer linear program for obtaining ...

Camera placement and optimisation in sensor networks is a critical area of research, combining elements of computational geometry, operations research and computer vision to enhance surveillance and ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

We investigate the information complexity of mixed-integer convex optimization under different types of oracles. We establish new lower bounds for the standard first-order oracle, improving upon the ...