Classroom Tips and Techniques: Least-Squares Fits - Maple Application Center
Application Center Applications Classroom Tips and Techniques: Least-Squares Fits

Classroom Tips and Techniques: Least-Squares Fits

Author
: Maplesoft AuthorDr. Robert Lopez
Engineering software solutions from Maplesoft
This Application runs in Maple. Don't have Maple? No problem!
 Try Maple free for 15 days!

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.

Application Details

Publish Date: November 28, 2012
Created In: Maple 16
Language: English

More Like This

Classroom Tips and Techniques: Roles for the Laplace Transform's Shifting Laws
Classroom Tips and Techniques: Norm of a Matrix
Classroom Tips and Techniques: Fitting Circles in Space to 3-D Data
Classroom Tips & Techniques: A First Look at Convolution
Classroom Tips and Techniques: Linear ODEs and the Method of Undetermined Coefficients
Classroom Tips and Techniques: Estimating Parameters in Differential Equations
Classroom Tips and Techniques: Multiple Integrals in Maple
Classroom Tips and Techniques: Line Integrals for Work, Circulation, and Plane Flux
Classroom Tips and Techniques: Fixed-Point Iteration
Classroom Tips and Techniques: Fitting an Ellipse to Noisy Data
5
Classroom Tips and Techniques: Formal Series Solutions of ODEs
Classroom Tips & Techniques: Dot and Cross Products