👉 Fluid math, also known as numerical analysis or computational mathematics, is a branch that focuses on developing and applying algorithms to solve mathematical problems numerically. Unlike traditional mathematics, which often seeks exact solutions, fluid math deals with approximations and iterative processes to find solutions that are "good enough" for practical purposes. It leverages computational power to handle complex, nonlinear, or high-dimensional problems that are difficult or impossible to solve analytically. This includes tasks like optimization, differential equations, and numerical integration, where fluid math provides robust methods to approximate solutions with high accuracy, making it indispensable in fields like engineering, physics, and data science.
