Seven mathematicians of Indian origin who have made significant contributions while working in the U.S. are featured, with a ...

Use of linear programming models has grown so extensively in recent years that the whole concept for organizing a computer code has undergone a radical change. It no longer is adequate merely to ...

It is an important research topic to suppress congestion caused by rapid increasing of traffic volume in a network. Traffic Engineering is a technology for controlling such traffic and efficiently ...

Abstract This paper introduces the Julia programming language as a dynamic, cost-effective, and efficient framework for implementing structural analysis packages. To achieve this, the finite element ...

We assume that the k -linear factors of the upper level problem and the l -linear factors of the lower level problem to be non-negative. In this paper, we propose an algorithm based on branch-and-cut ...

First, we provide an introduction into spline regression and describe linear- and restricted cubic spline regression in the context of an empirical data example. Then, we illustrate the application of ...

Mixed-integer linear programming (MILP) is often used for system analysis and optimization as it presents a flexible and powerful method for solving large, complex problems such as the case with ...

Abstract The current non-linear programming method does not derive regional economic surpluses and may derive an imprecise maximized value of the total economic surplus. The main reason is that the ...