Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

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

Abstract: This article considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and ...

Abstract: This study discusses vehicle stability control based on explicit nonlinear model predictive control (NMPC) and investigates the influence of prediction model fidelity on controller ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Richard Feynman restaurant meal math reveals a deeper truth about human choices. His hidden decision-making formula explains how people balance risk, timing, and opportunity. Decades later, ...

Since our foundation in 1984, we have helped the Department of War (DoW), government agencies, and private industry meet mission goals and gain strategic advantage by innovating and advancing the ...