# Numerical Analysis MCQs 01

NA MCQs 01 consist of 68 multiple choice questions. These multiples are very important for all kinds of tests. So attempt these questions to get better results.

This page consist of mcq on numerical methods with answers , mcq on bisection method, numerical methods objective, multiple choice questions on interpolation, mcq on mathematical methods of physics, multiple choice questions on , ,trapezoidal rule , computer oriented statistical methods mcq and mcqs of gaussian elimination method
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1. Newton-Raphson method to solve equation having formula

2. By using Newton-Raphson method  the root b/w 0 and 1  by first approx. of  is

3. The order of convergence of iteration method is

4. Method of factorization is also known as

5. The rate of convergence of Guass-Seidal is twice that of

6. Which of the followong is modefication of Guass-Jocobi method

7. The number of significant digits in 8.00312

8. Every square matrix can be expressed as product of lower triangular and unit upper triangular matrix _________ method based on this fact

9. In simpson 1/3 rule, if the interval is reduced by 1/3 rd then the truncation error is reduced to

10. Which of the following is the modification of Guass Elimination method

11. Using bisection method , the real roots of  between x=2 and x=4 is near to

12. The method of false position is also known as

13. The Regula False method is somewhat similar to

14. To solve  by Newton-Raphson method  we choose , then value of  is

15. The symbol used for average operator

16. By using Simpson’s rule, the value of integral =

17. The number of significant figures in 0.021444 is

18. To find the root of equation f(x)=0  in (a,b) , the false position method is given as

19. The equation  is known as

20. By using iterative process   the positive root of 278 to five significant figures is

21. The symbol used for backward difference operator

22. Relative error = ?

23. By using Newton-Raphson method to solve , the correct answer up to three decimal places is

24. The equation  is known as

25. Simpson’s rule was exact when applied to any polynomial of

26.

1. If  ≅ 0.8333 then percentage error is __________ %

27. Which of the following is iterative method

28. To find the roots of equation f(x) , Newton’s Iterative formula is

29. Round off error occurers when 2.987654 is rounded off up to 5 significant digits is

30. The error in Simpson’s rule when approximating  is less than

31. The rate of convergence of secant method is

32. The process of convergence in iterative method is faster than in

33. Relaxation method is known as

34. The False position 2nd approximation of  between 2 and 4 is

35. By v using iterative process  the positive square root of 102 correct to four decimal places is

36. The method of successive approximation is known as

37. Sum of roots of equation  is

38. The Approximate value of  when n=3 using Trapezoidal rule is

39. The % error in approximating  by 1.33 is ________%

40. The error in Trapezoidal rule is of order of

41. Bisection method is also known as

42. Newton’s method has ____________ convergence

43. To solve   for x near 2 ,with Newton’s method, the correct answer up to three decimal places is

44. If  then compute New iteration  when lies b/w

45. The rate of convergence of bisection method is

46. The formula  is known as

47. The number of significant figures in 48.710000

48. Gauss- Serial iterative method is used to solve

49. The fixed point iteration method defined as  converges if

50. In Simpson’s 1/3 rule , curve of y= f(x) is considered to be a

51. The root of  by using Newton-Raphson 2nd approximation correct answer up to three decimal places is

52. The roots of equation  near x= 2 correct to three decimal places by using Newton-Raphson method

53. The error in Simpson’s 1/3 rule is of order of

54. The symbol used for shift operator

55.  is

56. The Newton-Raphson method  fails if in the neighborhood of root

57. By solving  for x near 3 using iterative process , the correct answer up to three decimal places is

58. Numerical solutions of linear algebraic equations can be obtained by

59. Newton’s method fails to find the root of f(x)=0 if

60. The value of  using Trapezoidal rule is

61. Newton Raphson Formula is derived from

62. The smallest +ve root of   lies between

63. To evaluate  approximately  which of the following method is used  when the value of f(x) is given only at

64. By using False position method , the 2nd approximation of root of f(x)=0 is

65. The symbol used for  forward diffefence operator is

66. By using False position 2nd approximation of  is

67. The fixed iterative method has ________ converges

68. which method is known as Regula-Falsi method

## 6 Replies to “Numerical Analysis MCQs 01”

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