Iterative solvers are algorithms used to find approximate solutions to complex mathematical problems, particularly large linear systems, by iteratively refining guesses until a satisfactory level of accuracy is achieved. They are often more efficient than direct solvers for large-scale problems due to their reduced memory requirements and computational cost.