# Numerical Analysis Multiple Choice Questions Answers

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.

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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. If  then compute New iteration  when lies b/w

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

3. The number of significant figures in 0.021444 is

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

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

6. Method of factorization is also known as

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

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

9. The smallest +ve root of   lies between

10. The order of convergence of iteration method is

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

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

13. Gauss- Serial iterative method is used to solve

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

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

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

17. The method of successive approximation is known as

18. By using False position 2nd approximation of  is

19. The rate of convergence of secant method is

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

21. The formula  is known as

22. The error in Trapezoidal rule is of order of

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

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

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

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

27. The method of false position is also known as

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

29. The number of significant figures in 48.710000

30. The symbol used for shift operator

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

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

33. Newton Raphson Formula is derived from

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

35. The symbol used for  forward diffefence operator is

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

37. The fixed iterative method has ________ converges

38.  is

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

40. Sum of roots of equation  is

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

42. The fixed point iteration method defined as  converges if

43. Newton’s method has ____________ convergence

44. Which of the following is iterative method

45. The Regula False method is somewhat similar to

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

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

48.

1. If  ≅ 0.8333 then percentage error is __________ %

49. The equation  is known as

50. The symbol used for backward difference operator

51. Relaxation method is known as

52. Newton-Raphson method to solve equation having formula

53. Bisection method is also known as

54. The value of  using Trapezoidal rule is

55. The number of significant digits in 8.00312

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

57. Relative error = ?

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

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

60. The rate of convergence of bisection method is

61. The symbol used for average operator

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

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

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

65. which method is known as Regula-Falsi method

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

67. The equation  is known as

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

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## 8 Replies to “Numerical Analysis Multiple Choice Questions Answers”

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