Abstract: This letter explores intelligent scheduling of sensor-to-controller communication in networked control systems, particularly when data transmission incurs a cost. While the optimal ...

Machine Epsilon calculation (manual and NumPy) Binary representation of floating-point numbers (IEEE 754) Catastrophic cancellation and numerical stability Truncation ...

Abstract: This paper considers personalized mixed-integer programming problems (MIPs) with global coupled constraints, where each cost function is associated with both local and global decisions. In ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

As advertising shifts further toward streaming and addressable delivery, execution is becoming as important as ... Read More ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

So, I went to the Digiday Media Buying Summit. It was a pretty packed few days, with a lot of talk about where advertising is ...