The idea is that all the results from the method that take large population samples as input, will be compatible with the input of all the Plotting functions as well.

• Object Particle: initialize(mass, init_pos, init_vel, charge, ...), displacement updates method
• Next Features in Object Particle: Electric Field, Grav Field created by it.
• Object Calculus: First Derivative Second Derivative, Euler Method, Simpsons Method (1/3,1/8,3/8)
• Next Features in Object Calculus: Runge Kutta Methods, Simplectic Integrator Feature (for all prev methods)
• Object Matrix: Initialize or declare by command line, Levi-Civita Tensor (Eijk only)
• Next Features in Matrix: Gauss-Jordan Method, Trace of Matrix, Determinant, Inverse, LU Decomposition
• Operators (Differential, Integral, QuantumMechanical, etc)
• Standard Deviation, Normal Mean and Variance Fitting (for a data sample given at input)
• Linear Regresion, Interpolations of N-grade polynomials
• Chi Squared (\mu and \sigma unknown), t-student (\sigma unknown) and Normal (both known)
• Logaritmic Integral
• Exponential Integral
• Error Function
• Elliptic Functions (all types)