EASY-FIT Express

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. The numerical methods are based on highly efficient Gauss-Newton-SQP algorithms.Model functions are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime. Features: general arbitrary fitting criteria depending on parameters to be estimatedadditional nonlinear EQuality or inequality constraints second Independent model variable called concentration numerical routines Gauss-Newton-type SQP methods, various versionsautomatic differentiationalternative norms (sum of absolute values, maximum of absolute values) confidence intervals for estimated parameters, correlation and covariance Matrixidentification of significance levels for estimated parametersextremely fast routines user interfaceconvenient and flexible modeling language`find` and `filter` commands extensive report and graphics facilities, also for Gnuplot3D plots for two model or input variables, respectivelyin- and output of data from and to text or Excel files limitations 30 fitting criteria and data sets100 model variables 2,000 time values3,000 experimental data200 linear or nonlinear constraints- limited by size of internal working arrays modeling language (PCOMP) highly flexible statements depending on parameters to be estimatedtabulated data, splines, linear and piecewise constant interpolationindexed variables and functions(nearly) no limitations for number of lines of code