These are math’s most famous open questions. Solve one, and you’ll win a $1-million prize—but it’s only happened once since ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

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Abstract: Unit commitment problems can be solved more efficiently with mixed integer linear programming solvers when more preferred hyperparameters are configured. We propose a learning approach to ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad ...

The Decision Programming framework is described in this publication. If you found the framework useful in your work, we kindly ask you to cite the following publication (pdf): @article{Salo_et_al-2022 ...

Structural Equation Modeling (SEM) is a powerful statistical technique used to analyze relationships between observed and latent variables. Researchers and analysts use SEM for hypothesis testing, ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

The ability to solve complex problems methodically and systematically is of utmost importance in the practice of Engineering. There is a growing interest in exploring potential contributions of ...