👉 Candles computing, also known as Monte Carlo integration or path integral methods, is a computational technique used to approximate integrals and solve problems in quantum mechanics, statistical physics, and other fields where analytical solutions are difficult or impossible to obtain. The method involves discretizing the domain of integration into small, manageable segments and then simulating random walks or paths over these segments. By tracking the outcomes of these random walks, the method estimates the integral by averaging the results over many simulated paths. This approach is particularly useful for high-dimensional integrals and complex systems, as it can efficiently handle intricate geometries and provide accurate approximations through statistical sampling. The term "candle" in this context refers to a small, discrete increment used in the discretization process, analogous to a candle's flame length in traditional lighting.
