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Numerical Methods

Brand: Ashish Kumar
MPN: com.faadooengineers.free_numericalmethods
Category: App (Science)
Price: $0.00
Availability: Available instantly on compatible devices
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Features

  • This unique free application is for all students across the world. It covers 77 topics of Numerical Methods in detail. These 77 topics are divided in 5 units.
  • Each topic is around 600 words and is complete with diagrams, equations and other forms of graphical representations along with simple text explaining the concept in detail.
  • This USP of this application is "ultra-portability". Students can access the content on-the-go from anywhere they like.
  • Basically, each topic is like a detailed flash card and will make the lives of students simpler and easier.
  • 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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