Preconditioning techniques are strategies used to transform a problem into a form that is easier to solve, particularly in numerical optimization. These techniques help to improve the convergence rates of iterative methods by addressing issues like ill-conditioning, where small changes in input can lead to large changes in output. By using preconditioning, one can modify the problem or the algorithm's parameters to enhance stability and efficiency.
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