Define true error and relative true error.
In computational physics, accuracy is a key factor in solving mathematical problems and performing simulations. One crucial aspect of accuracy is understanding errors that arise during numerical computations. Errors can be classified into various types, and two fundamental types are true error and relative true error. These errors help quantify how far the computed or estimated result is from the true value.
True Error refers to the absolute difference between the true value of a quantity and its numerical approximation or computed value. Mathematically, if the true value of a physical quantity is denoted as \( X_{\text{true}} \), and the computed value is \( X_{\text{approx}} \), then the true error is defined as:
\[
\text{True Error} = |X_{\text{true}} - X_{\text{approx}}|
\]
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