👉 Rapid math, often referred to as computational mathematics or numerical analysis, involves the use of algorithms and computational methods to solve mathematical problems that are too complex or time-consuming for manual calculation. This field leverages computers to perform calculations, often involving large datasets or intricate equations, and is crucial in various applications such as physics simulations, financial modeling, machine learning, and engineering design. Techniques like numerical integration, root finding, optimization, and solving differential equations are key components, enabling mathematicians and scientists to approximate solutions quickly and accurately, even when exact analytical solutions are infeasible.
