👉 Repeat computing, also known as iterative refinement or multi-round refinement, is a computational technique used to enhance the accuracy of numerical solutions by iteratively improving the initial approximation. In this process, a computational model or algorithm generates an initial solution, which is then refined through multiple iterations. Each iteration involves re-evaluating the solution using more sophisticated methods or additional constraints, often incorporating feedback from previous steps to reduce errors and increase precision. This cycle continues until a satisfactory level of accuracy is achieved or computational resources are exhausted, making repeat computing particularly valuable in fields like scientific simulations, engineering design, and optimization problems where high precision is crucial.
