Iterative Refinement addresses the issue that problems are complex and multifaceted. Getting everything right at once is nearly impossible. Instead, computer scientists borrow iterative refinement from the physical sciences to tackle this design problem. In essence, iterative refinement recommends stripping away all inessential details at first and finding a solution for the remaining core problem. A refinement step adds in one of these omitted details and re-solves the expanded problem, using the existing solution as much as possible. A repetition, also called an iteration, of these refinement steps eventually leads to a complete solution.