Computational errors refer to mistakes that occur during calculations or data processing. These errors can arise from various sources, such as incorrect algorithms, rounding issues, or hardware malfunctions. They can lead to inaccurate results, which may affect decision-making in fields like science, engineering, and finance. There are two main types of computational errors: systematic errors, which consistently produce the same mistake, and random errors, which vary unpredictably. Understanding these errors is crucial for improving the accuracy of computations and ensuring reliable outcomes in applications ranging from computer programming to statistical analysis.