Central difference is a numerical method used to approximate derivatives by taking the average of the forward and backward differences at a specific point. This technique helps to achieve better accuracy in derivative approximations compared to other finite difference methods, as it considers information from both sides of the point in question. The central difference formula is commonly used in finite difference methods for solving differential equations, as it provides a more balanced estimate of rates of change.
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