B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

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

This PR adds an implementation of Kadane's Algorithm, an efficient dynamic programming approach to solve the Maximum Subarray Sum problem in O(n) time. Initializes current and global maximum values.

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI. When you purchase ...

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...

Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...

Abstract: Eco-driving has emerged as a promising approach to reducing fuel consumption in road vehicles by optimizing driving behavior for enhanced system efficiency. This paper formulates the ...

Abstract: In this work, a new strategy based on dynamic programming is proposed to solve the power flow (PF) problem in radial distribution systems using the backward/forward sweep method (BFSM). The ...

The ability to solve complex problems effectively has become a defining factor for success. Yet, despite the abundance of tools and methodologies available, I've noticed organizations often struggle ...