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Features
Optimization
Constrained and unconstrained, Single objective – and,
multiobjective optimization, pre-build and customized sequences of optimization
methods,
discrete variables, parallel function evaluations,
optimization for mixtures and linearly dependant models
Response
surface modeling
Multivariable models including - kriging,
multiple
regression analysis, kohonen neural networks, number of uni-variate curve
fitting methods, including splines, non-linear equations,
polynomials.
Analysis of variance – one way and multi-way ANOVA.
Robust
optimal design
Rapid stochastic model construction. Models include – mean,
standard deviation and variance; four methods for mean and
variance computation
Flexible
model definition
Response surface models, robust engineering models, plus, models
based on spreadsheet functions, scripts (VBScript or
JavaScript), external executables and models based on discrete
variables, mixture and linearly dependant models.
Design of
experiments
Full and fractional factorial designs, composite and rotatable
designs, LPtau, random and D-optimal designs, Mixture and
linearly dependant designs
Quality
improvement
Scatter plots, Pareto diagrams, Histograms, Control charts –
variables and attributes, Normal and half-normal plots of
effects, Normality tests, Time series, R&R analysis – gage
capability studies, Statistical data analysis,
Stratification
Additional
tools
Contour and 3D surface plots,
ternary plots, active spreadsheet, search,
replace and filter, clipboard formatting, distribution
calculator, random generator, online help and automatic updates
read more ...
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