This tool applies some algoithms to simplifying expessions.

This tool solves systems of nonlinear equations of several variables.

Elements properties.

1-D Cubic spline interpolation of x/y-values at xi, interpolates to find yi.

1.Non linear fitting tool enables you to perform curve fitting of one- dimensional data using arbitrary (non linear) fitting functions by computing the coefficients or parameters. The tool is based on Nelder-Mead method, which performs an unconstrained nonlinear minimization of the sum of squared residuals with respect to the various parameters. The tool is unique in its kind available for mobile phones and tablets.

2.Polynomail regression finds the coefficients of a polynomial p(x) of degree n that best fits the data in a least-squares sense.

3.Multiple linear regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data.

Key Features:

Linear & polynomial fitting

• Find the best-fit line or polynomial curve to fit your input data

• Multiplelinear regression up to 10 independant variables

• Flexible data entry

• Opening and saving data

Nonlinear fitting (Nonlinear Regression)

• User defined regression model (input function) can have many fitting parameters, or variables, and you can use whatever variable names you want to use in your input function.

• The tool implements the Nelder-Mead simplex (direct search) algorithm, to minimize a non linear function of several variables.

• Flexible data entry

• Opening and saving data