Linear convergence refers to the rate at which an iterative algorithm approaches its solution, characterized by a consistent proportional reduction in error with each iteration. It is particularly significant in optimization and numerical methods, where ensuring a predictable and efficient convergence rate is crucial for performance and reliability.