Refinement techniques are methods used in scientific computing to improve the accuracy and reliability of numerical solutions by systematically reducing errors. These techniques are essential for addressing various types of errors, including truncation and rounding errors, by enhancing the precision of computations through more refined models, grids, or algorithms. By applying refinement techniques, researchers can achieve more accurate results and gain better insights into complex scientific problems.
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