polynomials, divide one polynomial by another or find their GCDs. Analyse a set of measurements, or approximate complicated functions with simpler ones. Use a variety of methods to fit lines to data, plotting the result. Calculate linear regression, or use an absolute deviation fit to minimise the distorting effects of outliers. Perform a multivariate linear regression when one variable is a linear function of several others. Fit polynomials and

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polynomials, divide them, find their GCDs. Specialised tools run in their own windows, and can save their data for future reference. One tool performs a variety of least square fit methods (including non-linear, polynomial, multivariate). Another finds the minimum of a multi-variate expression. Others solve triangles, or find roots of polynomials up to tenth order, or solve simultaneous linear or non-linear equations. UltimaCalc includes logarithms

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The selection of components to generate two dimensional Cartesian plots with: unlimited number of axis (secondary axis) manifold options for scaling, grids, legends, automatic scaling, automatic zooming, unlimited number of series, manifold line and point styles, calculated Regression Lines, Interpolation, Differential and Integral, supporting components for editing and styles selection

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The most powerful Sci/Eng calculator for Windows. Expression evaluation, 18 digits of precision, variables, >100 functions, unit conversion, polynomial roots, interpolation, polynomial regression, linear algebra, numerical integration and differentiation, systems of linear, non-linear and differential equations, multi-argument functon optimization and fitting, curve, point and histogram graphs, statistical operations, computer math (bin/oct/hex).

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Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial and versatile local regressions. Interpolations include linear, cubic spline, and a `flexible` spline for more control of the spline shape. Data smoothing functions include moving average, median filter, and Gaussian smoothing.

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CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting.

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