The App Numerical Analysis covers notes on the subject. It is usually covered as the part of mathematics, computer science and mechanical engineering. Numerical analysis is the study of algorithms that use numerical approximation for the problems of mathematical analysis, the study is used extensively in Artificial intelligence, algorithms, real time systems and machine learning.

Numerical Analysis is a FREE handbook for learning the subject. The App covers It covers 77 topics of Numerical Methods in detail. These 77 topics are divided in 5 units.

You can very easily pass and succeed in your exams or interviews if you have this App in your mobile phone, and give an overview just a few days.

Some of topics Covered in this application are:

1. Solution of algebraic and transcendental equations

2. Methods of solving roots of polynomial equations

3. Initial Approximation for an Iterative Procedure

4. Method of False Position

5. Newton-Raphson Method

6. General Iteration Method

7. Convergence of the Iteration Methods

8. Linear system of algebraic equations

9. Direct method for solving linear system

10. Guass elimination method

11. Guass jordan method

12. Iterative Methods

13. Gauss-Jacobi Iteration Method

14. Gauss-Seidel Iteration Method

15. Eigen value problems

16. Power method

17. Interpolation

18. Lagrange Interpolation

19. Linear Interpolation

20. Quadratic interpolation

21. Error of interpolation

22. Divided differences

23. Newton’s Divided Difference Interpolation

24. Interpolation With Evenly Spaced Points

25. Relations between differences and derivatives

26. Newton’s forward difference formula

27. Newton’s Backward Difference Interpolation Formula

28. Spline function

29. Cubic Interpolation

30. Numerical Differentiation

31. Derivatives Using Newton’s Forward Difference Formula

32. Derivatives Using Newton’s Backward difference Formula

33. Derivatives using Divided Difference Formula

34. Numerical Integration and Integration Rules Based on Uniform Mesh Spacing

35. Trapezium Rule

36. Error in Trapezium Rule

37. Composite trapezium rule

38. Simpson’s 1/3 Rule

39. Error in Simpson’s 1/3 Rule

40. Composite Simpson’s 1/3 Rule

41. Simpsom’s 3/8 Rule

42. Romberg Method

43. Romberg method for the trapezium rule

44. Romberg method for the Simpson’s 1/3 Rule

45. Gauss-Legendre Integration Rules

46. Gauss one point rule (Gauss-Legendre one point rule)

47. Gauss Two point rule (Gauss-Legendre Two point rule)

48. Gauss Three point rule (Gauss-Legendre Three point rule)

49. Evaluation of Double Intergral Using Trapezium Rule

50. Evaluation of Double Intergral Using Simpson’s rule

51. Introduction to Initial Value Problem for Ordinary Differential Equations

52. Reduction of second order equation to a first order system

53. Single Step Method

54. Multi step Methods

55. Taylor series Method

56. Modified Euler or Heun’s Methods

57. Runge Kutta Methods

58. Taylor Series Method

59. Runge-Kutta Fourth Order Method

60. Multi Step Methods and Predictor-Corrector Methods

61. Predictor Methods

62. Adams-Moulton Methods

63. Stability of Numericals Method

64. Milne-Simpsons Method

65. Introduction of Boundary value Problems

66. Boundary Value problem governed by Second order Differential Equation

67. Finite Difference method

68. Classification of Linear Second Order Partial Differentiation Equation

69. Finite Difference Methods for Laplace

70. Finite Difference Methods for poisson Equations

71. Explicit Method for Heat Conduction Equations

72. Truncation error of the Schmidt method

73. Implicit methods for Heat Conduction Equations

74. Finite Difference Methods for Wave Equations

75. Explicit methods for Wave Equations

76. Truncation error of the explicit method for wave equation

77. Implicit methods Wave Equations

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