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Kintecus 3.90
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fit/optimize rate constants, initial concentrations, Lindemann/Troe/SRI/LT parameters, enhanced third body factors, initial temperature, residence time, energy of activation and many other parameters against your dataset(s). Note that Kintecus will actually fit the parameters at EXACTLY the time your data was measured with confidence bands/uncertainty analysis. Unlike other programs, Kintecus DOES NOT interpolate a function against your data and
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Fitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string expressions), double precision input vectors of any size, event support, weighting, wide set of functions and operators and unlimited number of fitting parameters. Examples
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Interpolation and Regression are fundamental and important calculations in mathematics. Mr. Newton and Mr. Gauss were engaged in-depth with numerical solutions for these problems. Today, there are improved algorithms, that can solve such tasks. InterReg allows you to do such complex calculations just with some point-and-click. So this program is not only for mathematics and engineers. Free for students and schools.
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Fitting - Standard deviation, best fit, and curve fit. Curve fit includes: variable-order polynomial, logarithmic, exponential, power, inverse, spline, and moving averages Additional features include a built in bitmap editor, magnifier and spreadsheet style data viewer/editor for the 2D scanner module. Complete control of the graph windows such as Labels, Legends, Grids, Colors, etc through the Graph Toolbox. Import image from the clipboard or from
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Curve Fitting Module The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic. Confidence Intervals and Hypothesis Testing Module Within this
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