Topic explanation

Standard explanation

Finite differences estimate derivatives from nearby values; smaller steps reduce truncation error only until rounding matters.

Key points

• Numerical differentiation
• rule
• worked example
• Numerical differentiation: Finite differences estimate derivatives from nearby values; smaller steps reduce truncation error on
• CONCEPT AND RULE: Finite differences estimate derivatives from nearby values; smaller steps reduce truncation error on
• METHOD: For numerical differentiation, identify the given information and required result. Select the matchi
• Finite differences estimate derivatives from nearby values; smaller steps reduce truncation error only until rounding matters.
• Worked pattern: Central difference is [f(x+h)-f(x-h)]/(2h).

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