Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Why GCs That Fixate on Squeezing Rate Cuts Out of Law Firms Aren't Going to Solve Their Cost Problems 5 minute read June 11, 2025 at 01:50 PM ...

Artificial Intelligence plays an increasing role in improving efficiency, transparency, and combating corruption in construction procurement. The global construction industry faces challenges like ...

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.

We also show a family of linear programs that characterize all algorithms that are allowed to choose J candidates and gain profit from the K best candidates. We believe that a linear programming based ...

Recent work (Rantzer, 2022) formulated a class of optimal control problems involving positive linear systems, linear stage costs, and elementwise constraints on control. It was shown that the problem ...

In this article, we study the constrained social cost minimization problem for heterogeneous linear multiagent systems with partial information under malicious denial-of-service (DoS) attacks for the ...

When so much in the world feels beyond our control, costs are to a large extent controllable. But cutting them to drive short-term savings is a mistake. When companies take a one-off approach to ...

Examples of Cost Minimization Automotive Industry: Car manufacturers implement automation and robotics to minimize labor costs and enhance production efficiency.

In Figure 1 an example of a Pareto curve for a minimization problem is shown, where both objectives are linear. Note that an inefficient point can be improved in both objectives.