Dot Physics on MSN

Python physics lesson 19: Learn how Monte Carlo approximates pi

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...
IEEE

Sequential Linear Programming With Adaptive Linearization Error Limits for All-Time Feasibility

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...
Opinion
Dot Physics on MSNOpinion

Python physics 28: Electric potential explained for curved trajectories

In Python Physics #28, we explore electric potential along curved trajectories using Python simulations. Learn how to calculate and visualize how electric potential changes for charges moving along ...
IEEE

Enhancing Distribution system resilience using distributed generation

Abstract: Enhancement of resilience of a distribution network is achieved through a two-stage approach in this study. In order to reduce losses and enhance voltage profiles, pre-event optimal ...