Method to add new values for Alpha instance either the direct_matrix is needed or ALL of (A, B, U) Args: direct_m

Method to add a new condition Args: alpha: Alpha class instance A: Initial vibration column array -> numpy ar

solving the LMI model returns solution matrix W

Returns the root mean squares from tools module

Collects test_cases data from config.yaml file :function: function name -> str :returns: tests -> list of tuples (input, expected)

Returns the residual_vibration from tools module

returns column vector by index i in alpha_arranged_by_column_norm

Factory method to create a split instance

Split method to determine the optimized splitted weight over available holes and with some availabe weight types

Mehtod to solve the splitting problem function takes the weight_available_matrix of the split instance and find t

return generator with the strings to be printed

Method to load influence coefficient value

Method to solve the model Args: solver:'OLE' Ordinary Least Squares method 'Huber': Uses Huber smoother to do

Args: A: Initial vibration vector -> np.ndarray alpha: Instance of Alpha class critical_planes: set of c

Method to check the alpha value * check the symmetrical of the matrix (check for square matrix only, for square matri

Method to determine different ways of error in the splitting. Args: Instance of split model o

Normalize vector = vector / norm(vector) Arg: vector -> complex of vector returns: normalized vector

Method to override the model solution with the split solution for the balancing plane. confirm: Boolean= False: t

Method to summarize the results for alpha. return generator of tuples(title:str, item)

Method to summarize the results for condition.

Method to summarize the results for Model.

TODO: inverse of convert_math_cart :complex: TODO :returns: TODO

docs: Convert from polar mathematical expression to cartesian. :inputs: str: mathematical expression for polar number in form of

docs: Convert number from polar form to cartesian complex number. :inputs: polar: Complex number in polar form (modulus, phase in degrees

docs: Convert complex number in the cartesian form into polar form. :inputs: cart: Complex number in cartesian number ex. 12+23

Method to load condition instance.

Method to print comprehensive results of the solution transfer the numpy array to non-zeros DataFrame Args:

Method to save influence coefficient values

Method to save condition instance.

Method to solve the Minmax model

Instantiate an instance of Alpha name: optional name of Alpha

Instantiate a conditions instance that will encapsulate all model speeds and loads name: optional name of Alpha

Args: info_parameters generator of tuple(name, parm) from _info method level: level for nested appearance

Instantiate the model Args: A: Initial vibration vector -> np.ndarray ALPHA: Influence coefficient matrix -> class Alpha

Enable accessing outer class variables args: model_instance: _Model class

Instantiate the model Args: A: Initial vibration vector -> np.ndarray ALPHA: Influence coefficient matrix -> class Alpha

Instantiate the model Args: A: Initial vibration vector -> np.ndarray alpha: instance of Alpha class weig

Method to print out alpha value

Method to print out condition value

docs: Convert influence coeffecient matrix ALPHA from mathematical expression form to cartesian form. :ALPHA_math: list of lists with po

inverse of convert_matrix_to_cart

tests for various matrix sizes for n = 1000 it took around 5 minutes on my machine

tests for various matrix sizes for n = 1000 it took around 5 minutes on my machine

tests for various matrix sizes for n = 1000 it took around 5 minutes on my machine

Calculate the residual vibration between ALPHA matrix and solution W with intial vibration A Args: ALPHA : Influence coefficient

Calculate the root mean square error for residual_vibration column matrix subtract each residual vibration from zero and taking the square ro

returns shape of Influence coefficient matrix (no. Measuring Points, no. Balancing Planes)

Solve the problem and return W which is row vector of balancing weights

Creating alpha instance

Creating alpha instance to test throwing faults

Pytest function to test instantiate Alpha from direct_matrix Inputs: param, expected : from config.yaml file

Function to test instantiating Alpha class from matrices param, expected : from config.yaml file

Test the dimension of A to be 2x1

Testing insantiate Least square model and test it against test cases

Testing instantiate Min_Max model and test it against test cases

Testing instantiate LMI model and test it against test cases

Creating alpha instance

Creating alpha instance to test throwing faults

creating alpha instance to test throwing faults

Test raising symmetric matrix warning

Check raising error due to improper dimension of matrix

Test ill conditioned planes

Creating alpha instance to test throwing faults

Creating alpha instance to test throwing faults

Testing the perfromance of model

Check raising error due to improper dimension of matrix

Testing the performance of model