Mathematical Modeling
Truncation error is the difference between the exact mathematical solution of a problem and the approximate solution obtained using numerical methods. This type of error arises when an infinite process is approximated by a finite one, such as when a series is cut off after a certain number of terms. In numerical methods for solving differential equations, understanding truncation error is crucial because it helps assess the accuracy of the approximations and ensures that solutions are reliable.
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