Transform-and-numerical-methode

Math functions created in Python that contain functions Bisection method , Newton-Raphson method, Regular -Falsi method, and secant method.

MANUAL

TO impelment any function of this package just use the function name and parameters required first paprameter is f: f denotes the function on which the approximation is to be applied (will be the must and first parameter of all functions.

Other Parameters to be used are mentioned below:

• Bisection methode :

   bi_mthd(f, a, b)  
  

  a: second parameter which will be the left end point of the interval
  b: third parameter which will be the right end point

• Newton-Raphson methode :

  newton_raphson(f, df, x0)
  

  df: second parameter which will be the derivative of the function
  x0: third parameter which is the intial guess

  tol: is the fourth parameter denoting tolerence for the root which is predefined but can be changed as per usage
  max_iter: is the fifth and the last parameter which is already set to 100 iterations

• Regular Falsi methode :

  regula_falsi(f, a, b)   
  

  a: second parameter which will be the left end point of the interval
  b: third parameter which will be the right end point

  tol: is the fourth parameter denoting tolerence for the root which is predefined but can be changed as per usage
  max_iter: is the fifth and the last parameter which is already set to 100 iterations

• Secant methode:

  scnt_mthd(f, x0, x1)
  

  x0: second parameter which will be the first intial guess
  x1: third parameter which will be the second intial guess

  tol: is the fourth parameter denoting tolerence for the root which is predefined but can be changed as per usage
  max_iter: is the fifth and the last parameter which is already set to 100 iterations

  Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT