Grasp more from your process, make analytics, focus on what matters.
Grasp more from your process, make analytics, focus on what matters.
This post shows how ODE parameters as well as initial condition can be adjusted to experimental data using Python. Adjusting ODE parameters is good topic to introduces specific methodology such as parameter normalization and sample bootstrapping.
Python and scipy package are very powerful when dealing with optimization problem. We present in this article a double optimization problem involving root find of a rational trigonometric equation and a non linear adjustment of a series expansion.
Python is a very convenient companion for function adjustment and scientific computing in general. We present in this article a simple problem where the scipy package is the sufficient toolbox to tackle an non linear adjustment problem involving a numerical…