rejgoo 0.0.2

Python package that solves mathematical equations

Rejgoo is a Python package that solves mathematical equations! The main aim of rejgoo is too be the fastest and simplest way to solve system of mathematical equations. You can solve any number of equation with just one line of code!

HOW TO USE:

At first the eqs class needs to be imported. This class handle the process of slving equations.

Then an instance of eqs class is created with text file that contains equations as parameter.

A simple code sample is shown below:

from rejgoo.rejgoo import eqs

text = """
    x**2 + x  = 2
    3*a + 2*b = 16
    -5*a + 5 = -b
    sin(3*b*a) + cos(60) = d
    """

equations = eqs(x)

After running the code, The results will be printed automatically:

Total number of equations: 4
Total number of variables: 4
Number of isolated systems of equations: 2

system number: _1_
number of equations in this system: 3

solve
order     residual       equations
--------------------------------------------------------------------
1       0.00000       3*a+2*b=16
1       0.00000       -5*a+5=-b
2       0.00000       sin(3*b*a)+cos(60)=d
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_

system number: _2_
number of equations in this system: 1

solve
order     residual       equations
--------------------------------------------------------------------
1       0.00000       x**2+x=2
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_

Values of variables:

a:    2.0
b:    5.0
d:    1.0
x:    1.0

The results can be accesed by solved_vars attribute as an dictionary: equations.solved_vars

Keyword arguments:

You can also provode folowing kwargs to eqs calls:

• verbose:

verbose is a boolean, By default verbose is set to True. If you don’t like the results to be printed, just set verbose = False

eqs(text, verbose=False)

• init_vals:

init_vals is a dictionary that contains initial guess for variables.

eqs(text, init_vals={'x':3})

• max_iter

max_iter is an integer that shows number of iteration that newton raphson will do. By default it is 100.

eqs(text, max_iter=200)

• learning_rate

learning rate is a float number that is multiplied to newton raphson step sizes. learning_rate by default is 1, which means that steps are not changed! By using smaler numbers, we can prevent over shooting!

eqs(text, learning_rate=0.8)

• random_state:

random_state is an integer that can be set and be used to set initial values for variable.

eqs(text, random_state=42)