EASY-FIT ModelDesignSolve constrained nonlinear parameter estimation problems. | |
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EASY-FIT ModelDesign Ranking & Summary
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- License:
- Free to try
- Price:
- Free to try
- Publisher Name:
- By Klaus Schittkowski
- Publisher web site:
- http://www.klaus-schittkowski.de/
- Operating Systems:
- Windows
- Additional Requirements:
- MS Access 2007 runtime version, included
- File Size:
- 72.27 MB
- Total Downloads:
- 203
EASY-FIT ModelDesign Tags
- Parameter parameter control equation order parameter fitted parameter nonlinear editor customizable parameter parameter maker HTTP parameter parameter morphing parameter modulation Nonlinear compressor nonlinear limiter nonlinear Freeframe Parameter network parameter equation parameter command parameter parameter estimation Parameter List define parameter Send Parameter Application Parameter custom parameter find parameter Run with Parameter process parameter parameter view parameter enterer Create Parameter parameter launcher Program Parameter Kepler Parameter .NET parameter add parameter handle integrated parameter differential equation differential test parameter ControlPaint Parameter run parameter set parameter four-parameter model ECU controlled parameter Cone Parameter Inductance Coil Parameter parameter anaysis bearing parameter parameter type parameter conversion time parameter formatting parameter catenary parameter lambda parameter nonlinear element validate request parameter C# default parameter PN jonction parameter compute PN jonction parameter estimate unknown parameter crash parameter calculate vernier parameter aperture parameter systems of ODEs integration inertia parameter DataTable parameter intersection parameter nonlinear video editor parse parameter parameter editor parameter command GSHOP parameter Statistical parameter estimate parameter arbitrary parameter model parameter parameter character parameter set generator combined parameter set constrained optimization Nonlinear Regression
EASY-FIT ModelDesign Description
The system solves constrained nonlinear parameter estimation (nonlinear regression, data, curve and surface fitting) problems based on ODEs, DAEs, PDEs, PDAEs, steady-state systems, Laplace equations, and analytical functions. A statistical analysis provides confidence intervals, correlation and covariance matrix, identification of significant parameters, and allows optimum experimental design. Model equations are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime. What's new in this version: new statistical analysis tools
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