Curve fitting
Understanding Curve Fitting: A Simple Guide
Curve fitting is a statistical technique used to find the best-fit curve for a set of data points. It’s essential for modeling relationships between variables, enabling accurate predictions and deeper insights.
Why Curve Fitting?
Imagine you’ve collected data from an experiment, and you need to understand how two variables relate. Curve fitting helps create a mathematical function that approximates this relationship, smoothing out the noise and highlighting the underlying trend.
Relations between curve fitting and our softwares
To do curve fitting you need values of the dependent variable and the independent
variables and do some math and end up with a polynomial but how this polynomial fit the data is a subject of discussion.
Doing curve fitting is crucial in mathematics in the world of numerical forest to proceed forwards in design or at least having solutions.
Many softwares requires at least number of points to do this curve fitting.
With ldmvfe needs the minimum number of points and have the nearest solution fit polynomial.
Doing curve fitting is crucial in mathematics in the world of numerical forest to proceed forwards in design or at least having solutions.
Many softwares requires at least number of points to do this curve fitting but ldmvfe requires 1.