which can be transformed to a linear interval programming model studied in the paper. The method is illustrated by solving a simplified portfolio selection problem.

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

A team led by Kenneth Merz, Ph.D., Staff at Cleveland Clinic's Center for Computational Life Sciences, showed how quantum ...

Explore nonlinear thinking in problem solving and how it fosters creativity, adaptability, and innovation in today’s complex ...

This study considers mathematical programming problems with non-L-R type fuzzy parameters. It shows that the fuzzy solutions to such problems can be obtained by solving an optimization problem on a ...

Thus HiGHS can solve linear programming (LP) problems, convex quadratic programming (QP) problems, and mixed integer programming (MIP) problems. It is mainly written in C++, but also has some C. It ...

Indeed, in the second and third weeks, some participants stated that thanks to the games, they were starting to "think like a computer," which made them aware of their progress in learning to solve ...

Several algorithms, including the interior point method 17,18 and dual forest method, 19 solve linear assignment problems using general linear programming techniques. Ramakrishnan et al. 18 modified ...