A Windows based mathematical graphing tool for 2D and 3D Functions and Data, shaded surfaces, contour plots. Includes linear and nonlinear curve fitting. You may integrate and analyse systems of up to 20 coupled ordinary differential equations (ODE's). Analysis tools include power spectrum calculation and Poincare sections. You may use these tools to study chaos in dynamical systems.
Mathematical graphing tool for 2D and 3D functions and data. Includes nonlinear curve fitting and integration of coupled ordinary differential equations (ODE's). Study chaos in dynamical systems.
MathGrapher ranks between graphical calculators and full-fledged mathematical tools like Mathematica.
It is powerful, easy to use and will probably meet your demands for a price that consists of only 2 instead of 4 digits.
Mathgrapher version 2 has just been released. You are invited to download a fully functional trial version.
Install Mathgrapher, start the Demonstrations and see what Mathgrapher can do for you.
Functions in 2D and 3D
MathGrapher is a graphical calculator for functions of the form F(x) and F(x,y)
containing up to 20 subfunctions and 150 numerical and 100 named constants. Cartesian as well as polar coordinates can be
chosen and functions can be represented in patametrized form (2D). F(x,y) can be represented in 2D and 3D
by Shaded surfaces, Contour plots and Cross-sections through Contourplots. In the 3D viewer you may rapidly vary the
viewing angle, distance and shading of the 3D surface using your mouse.
Data in 2D and 3D
Edit and draw graphs of your 2D or 3D Data. 3D surfaces can be previewed in the 3D viewer (OpenGL). Shaded surfaces,
Contour plots and Cross-sections through Contour plots can be drawn in same way as 3D Functions.
Curve fitting (linear and non-linear)
A number of least squares curve fitting methods can be selected: e.g. linear regression, polynomials, trigonometric
polynomials and cubic splines. An important feature of this program is that you can use the
general and powerfull (non-linear) Levenberg-Marquardt method to fit your data to any continuous function you define.
Calculate algebraic series or study iterative multi-dimensional maps. Several mathematical tools are
available to analyse the results (zie ODE's below). Look at the examples to see how you may use Mathgrapher to
study the route to chaos via period doublings in the simple logistic map
Ordinary Differential Equations (ODE's)
The evolution of dynamical systems in physics, chemistry, electronics, economics and population dynamics can often
be described with a set of coupled ODE's. Mathgrapher uses an
accurate Adams-Bashforth variable order, variable step predictor-corrector algorithm to
integrate systems of up to 20 coupled ODE's. Several tools are available to analyse the
results of the integrations (and iterations) such as: Graph of the time evolution,
Projections in 2 or 3 dimensions, Surfaces of Section and Power spectrum analysis.
You are here: Modules > Data
Links in the text refer to the lower part of the page
Data in 2D and 3D
Edit and select Data from a grid and draw a
2D or 3D Graph.
You may view 3D data in the 3D viewer and make Contour plots and Cross-sections through Contour plots.
Some statistical properties of the data may be calculated. You may also draw
a histogram or the (cumulative, normalized) distribution function of selected data.
You may apply a Chi-square test or a
Kolmogorov-Smirnov test to compare two distributions
A few commonly used statistical measures are calculated.
Their definition is given below.
n is the number of data points x.
Note that these x- values do not need to be the numbers along some axis;
they represent the values given in the selected cells in the data grid.
Standard Deviation (SD) - is a measure of the width of the distribution.
Skewness indicates the degree of asymmetry.
Kurtosis is a measure of the peakedness of the distribuition.
For a Gaussian distribution it has the value 3. A more peaked ditribution has a
Kurtosis larger than 3.
The Minimum and Maximum value and the
Median are given as well as. By definition the number of values that are smaller
than the Median equals the number that are larger.