Numerical differentiation and integration – MCQs – EE

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1. Which method approximates the derivative using the function value at a current and next point?



2. Which method uses values from both sides of the point to approximate the derivative?



3. Which method uses the current and previous point to approximate the derivative?



4. What type of errors affect numerical differentiation?



5. How many points does a three-point differentiation formula use?



6. Which numerical integration method uses straight-line approximation of the curve?



7. The trapezoidal rule is exact for which type of function?



8. Simpson’s 1/3 rule requires what type of interval?



9. Romberg integration is based on which combination?



10. The midpoint rule uses which value to approximate the integral?



11. Numerical differentiation becomes inaccurate due to what?



12. Higher-order differentiation formulas help to:



13. Trapezoidal rule approximates the area using:



14. Simpson’s 3/8 rule uses which type of approximation?



15. Forward difference is less accurate than central difference because:



16. Decreasing the step size in differentiation may:



17. Which methods can be used for equally spaced points?



18. Simpson’s 1/3 rule uses how many points per segment?



19. Composite rules in integration are used to:



20. Trapezoidal rule error depends on which derivative?



21. Simpson’s 1/3 rule error depends on which derivative?



22. Numerical differentiation is mainly used when:



23. Which method is preferred for smooth functions requiring high accuracy?



24. Forward difference for second derivative uses how many consecutive points?



25. Central difference for second derivative is:



26. Simpson’s 3/8 rule requires how many intervals per segment?



27. Numerical differentiation formulas are derived using:



28. Romberg integration improves trapezoidal rule using:



29. Midpoint rule approximates the integral by:



30. For small step size and smooth function, the most accurate method is:



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