Z80 Assembly 80: Floating-Point Square Root (Newtons Method)
The Challenge: Precision and Speed Calculating the square root of a floating-point number (Part 30) is required for precise calculations like distance, physics, or graphics shading. This requires an iterative algorithm that works across the multi-byte structure of the float. Method: The Newton-Raphson Method is the preferred algorithm for floating-point square roots because it is computationally fast (it converges quadratically). The Newton-Raphson Formula The goal is to iteratively refine a guess ($x_{n+1}$) using the previous guess ($x_n$) until the guesses stop changing (convergence). ...