Least-Squares Fitting in Maple - Recorded Webinar - Maplesoft

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Least-Squares Fitting in Maple

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Least-Squares Fitting in Maple

The least-squares fitting of functions to data can be done in Maple with eleven different commands from four different packages. The CurveFitting and LinearAlgebra packages each have a LeastSquares command; the Optimization package has the LSSolve and NLPSolve commands; and the Statistics package has the seven commands Fit, LinearFit, PolynomialFit, ExponentialFit, LogarithmicFit, PowerFit, and NonlinearFit, which can return some measure of regression analysis. 

In this webinar, Dr. Lopez will illustrate the use of, and interaction between, these commands. 

Dr. Robert J. Lopez, Emeritus Professor of Mathematics at the Rose-Hulman Institute of Technology in Terre Haute, Indiana, USA, is an award winning educator in mathematics and is the author of several books, including Advanced Engineering Mathematics. For over two decades, Dr. Lopez has also been a visionary figure in the introduction of math technology into undergraduate education and has received numerous awards for outstanding scholarship and teaching.
Language: English
Duration: 58 Minutes
Related Terms: Leastsquares, Least-squares, Curvefitting, Linearalgebra, Optimization, Statistics

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