Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

The previous article in this series examined how institutions misclassify AI‑driven exposure due to legacy metrics, ...

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s ...

Every company has a pricing strategy. Most believe they're executing it, but the reality is messier. When executives think ...

A self-learning closed loop optimizer was applied on five wells in an unconventional oil and gas pad in Delaware basin. The optimizer requires neither a process model nor plant-disturbance testing for ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

Abstract: This article is devoted to the distributed convex optimization problem for a class of nonlinear multiagent systems under set constraints. The optimization objective function is composed of ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Optimization is a structured process of improving a system, process, or product so that it achieves the best possible performance under given constraints. It generally follows four main stages: The ...

Optimal scheduling of battery energy storage system plays crucial part in distributed energy system to provide stability and reduce user costs. Non-linear equipment characteristics (e.g., battery ...