Abstract: This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic ...

Monte Carlo simulation of 10,000 paths shows 60% of scenarios place XRP between $1.04 and $3.40 by December 2026. The median outcome is $1.88 while only 10% of scenarios exceed $5.90. Downside tail ...

Monte Carlo simulation of 10,000 paths shows 60% of scenarios place XRP between $1.04 and $3.40 by December 2026. The median outcome is $1.88 while only 10% of scenarios exceed $5.90. Downside tail ...

Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents ZacrosTools, a free and open-source Python library designed to ...

Bob’s financial advisor just ran a “Monte Carlo analysis” for him.What’s a “Monte Carlo analysis”?It’s a tool used to test how a person’s retirement savings and plan would hold up given a variety of ...

Spower Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment ...

The materials have been made available under an MIT license. The materials are as-is with no liability for the author. Please provide credit if you reuse the code in ...

Abstract: This paper focuses on the investigation of op amp circuit optimization based on Monte Carlo simulation and PVT simulation, focusing on the performance of the op amp in different operating ...