CurvFit is a nonlinear curve fitting program. Sine, damped Sine, Lorentz, Modified Lorentz, Power (ie Polynomial) and Exponential series are presently available models to match your data. We powerfully suggest trying a Lorentz series for data with multiple peaks or valleys. A calculator exists for interpolation &/or extrapolation of given data. CurvFit has proven outstanding for hard to fit data. Hard to fit data may take more time -but- it can be done given the right series and parameter values. For start try curve fitting your data with a Lorentz series.

Fitting Sinusoidal data is simplified by finding good initial starting values for given sinusoidal data. In order to do this try our Rainbow software using a simple spectral estimator (e.g. AutoCorr). A good estimator will calculate key frequencies. Use these key frequency values as initial starting values in CurvFit. Without these good initial frequencies values Curve fitting sinusoidal data can be tuff.

Curve fitting is an Inverse Problem in some cases. For example, you might have some Ordinary Differential Equations (ODEs) where you know the solution data points but question some parameters in the ODEs. The target would be your data points and parameter values would be what you are trying to determine.

Another example would be determining a electrical circuit parameters when you know the (target) circuit response desired. Curve fit data to model is quick and easy in a Calculus programming language. There are many industry Inverse Problems that exist but are not classified as such.

The license of this software is Free Trial Software, you can free download and get a free trial.