Matrix-free methods are computational techniques used to solve linear algebra problems without explicitly forming or storing matrices, which is especially useful in large-scale simulations where matrix storage is impractical. These methods leverage operations like matrix-vector products to efficiently compute solutions, often used in iterative solvers for partial differential equations and large sparse systems.