Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them at ...

The special research area “Mathematics of Reconstruction in Dynamical and Active Models”, funded by the Austrian Science Fund FWF, was launched in ...

Abstract: We propose a multi-objective optimization algorithm for cloud task scheduling based on the Analytic network process (ANP) model to solve the problems in cloud task scheduling, such as the ...

Classical methods of solving these problems, which often involve churning through possible solutions in clever ways, quickly become untenable. The specific optimization problem that DQI tackles is ...

From undergraduate study to graduate, postdoctoral and faculty research, women within the Mellon College of Science’s ...

Mar. 31, 2025 — Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in ...

A Python-embedded modeling language for convex optimization problems.

According to a study, a DeepMind AI mines diamonds in "Minecraft", which is considered difficult. The learning method should ...

and are not usually designed to solve shape optimization problems for soft materials," he said. "Engineers typically have to come up with their own mathematical formulations for soft materials ...

This course has 1 mandatory assignment that must be approved before you can sit the final exam. It will also be counted as one of the three attempts to sit the exam for this course, if you sit the ...

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one ...