👉 Error computing, often referred to as numerical or computational error, arises when approximations are used in mathematical operations to calculate results. These approximations can introduce inaccuracies due to limitations in the precision of floating-point numbers, rounding errors, or truncation errors when dealing with infinite or very large numbers. For instance, when adding two very large numbers, the result might be rounded to fit within the precision limit of the floating-point system, leading to a loss of significant digits. Similarly, in iterative computations or when solving equations numerically, errors can accumulate over multiple steps, magnifying the initial inaccuracies and affecting the final result's reliability. Understanding and minimizing these errors is crucial for ensuring the accuracy and validity of computational results.
