Graphing and analysis for those in data intensive professions
MathSol contains the comprehensive
toolset you need to get your graphing and data analysis done quickly
and easily. No time-costly Ďbells and whistlesí that
you never use. No complicated software that costs you valuable
time and takes you away from your sciencific endeavors and laboratory's
works. Just exceptional, accurate graphing and analysis at a remarkable price. MathSol
applications have been developed to meet the graphing and data analysis needs of
thousands of scientists and engineers engaged in significant and influential
research, development, and discovery all around the world.
Visualise your data:
MathSol applications are used by scientists,
researchers and engineers at top research centers
Entry. Begin your analysis in CurveFitter by either opening a data
file or entering data using the keyboard. Text files may be
opened directly. Tab, space, and other delimited text files
use a very flexible import facility.
Fast and Versatile Graphing
Choices. Create plots quickly and easily entering your equations into EqPlot. Graphs illustrate your work better.
Analyze your findings:
Powerful Data Analysis and
Manipulation in CurveFitter. Easy-to-use
commands for analyzing your data include a variety of
algebraic equations and mathematical functions. Use the
Formula entry window to build several varieties of equation set that best described your data. All fits are calculated with incredible speed and accuracy.
Communicate your results:
Effortless Printing and
Plot Export. Use
EqPlotís page print window to resize your graph. Easily
export graphs to Word, PowerPoint, or a favorite application
using popular file formats.
Features of CurveFitter:
CurveFitter is a
powerful statistical analysis program that performs linear and
nonlinear regression analysis (i.e. curve fitting). CurveFitter
determines the values of parameters for an equation, whose form you
specify, that cause the equation to best fit a set of data values.
CurveFitter can handle linear, polynomial, exponential, and general nonlinear functions. Unlike many "nonlinear"
regression programs that can only handle a limited set of function
forms, CurveFitter can handle essentially any function whose form you can
CurveFitter performs true
nonlinear regression analysis, it does not
transform the function into a linear form. As a result, it can
handle functions that are impossible to linearize such as:
y = (a - c) * exp(-b * x) + c
Another advantage of handing the function in true nonlinear form
is that the minimization of the sum of squared residual values
(i.e., "least squares") is based on the true nonlinear value rather
than some linearized transformation.
In addition to computing the optimal values of the parameters to
best fit the function to the data, CurveFitter generates plots of the data points and
the fitted equation. In addition, it plots the distribution of residual values.