The Jacobi preconditioner is a method used to enhance the convergence of iterative solvers, particularly within the context of solving linear systems. It transforms the original system into a new system that is easier to solve by approximating the inverse of the matrix, allowing for faster convergence in methods like conjugate gradient. This technique is especially useful when dealing with large, sparse matrices typical in numerical simulations.
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