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# 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.

3000+ Mathematics all subject MCQs with their Answeers

Soultion of Book differential equation Boundary Value Problem &th Editions By DG ZILL

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
We study Numerical Analysis for the preparation of mathematics for the purpose of M.Phil Math, P.hD math, EDUCATORS, LECTURER, SS, SSS, PPSC, FPSC tests. our team try ourselves best to touch every topic of Numerical Analysis to provide concept at all.

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1. The rate of convergence of bisection method is

2. Newton-Raphson method to solve equation having formula

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

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

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

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

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

8. The fixed point iteration method defined as  converges if

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

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

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

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

13. The method of false position is also known as

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

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

16. The value of  using Trapezoidal rule is

17. The symbol used for shift operator

18. Bisection method is also known as

19. The rate of convergence of secant method is

20.

1. If  ≅ 0.8333 then percentage error is __________ %

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

22. The order of convergence of iteration method is

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

24. Sum of roots of equation  is

25. The smallest +ve root of   lies between

26. By using False position 2nd approximation of  is

27. The number of significant digits in 8.00312

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

29. Relative error = ?

30. The formula  is known as

31. The method of successive approximation is known as

32. The symbol used for backward difference operator

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

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

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

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

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

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

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

40. Gauss- Serial iterative method is used to solve

41. The symbol used for  forward diffefence operator is

42. Which of the following is iterative method

43. Method of factorization is also known as

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

45. The fixed iterative method has ________ converges

46. Relaxation method is known as

47. The number of significant figures in 48.710000

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

49. Newton’s method has ____________ convergence

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

51. which method is known as Regula-Falsi method

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

53. The symbol used for average operator

54.  is

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

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

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

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

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

60. The number of significant figures in 0.021444 is

61. The Regula False method is somewhat similar to

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

63. The equation  is known as

64. The error in Trapezoidal rule is of order of

65. Newton Raphson Formula is derived from

66. The equation  is known as

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

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

Vector and tensor analysis mcqs with answers

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