1998Journal of Chemical EducationRequires access

Nonlinear Least-Squares Curve Fitting with Microsoft Excel Solver

Daniel C. Harris

Open publisher page 266 citations

Abstract

"Solver" is a powerful tool in the Microsoft Excel spreadsheet that provides a simple means of fitting experimental data to nonlinear functions. The procedure is so easy to use and its mode of operation is so obvious that it is excellent for students to learn the underlying principle of lease squares curve fitting. This article introduces the method of fitting nonlinear functions with Solver and extends the treatment to weighted least squares and to the estimation of uncertainties in the least-squares parameters.

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What this paper is about

"Solver" is a powerful tool in the Microsoft Excel spreadsheet that provides a simple means of fitting experimental data to nonlinear functions. The procedure is so easy to use and its mode of operation is so obvious that it is excellent for students to learn the underlying principle of lease squares curve fitting. This article introduces the method of fitting nonlinear functions with Solver and extends the treatment to weighted least squares and to the estimation of uncertainties in the least-squares parameters.

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OpenAlex reports 266 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

"Solver" is a powerful tool in the Microsoft Excel spreadsheet that provides a simple means of fitting experimental data to nonlinear functions. The procedure is so easy to use and its mode of operation is so obvious that it is excellent for students to learn the underlying principle of lease squares curve fitting. This article introduces the method of fitting nonlinear functions with Solver and extends the treatment to weighted least squares and to the estimation of uncertainties in the least-squares parameters.

Key concepts: Solver, Non-linear least squares, Microsoft excel, Curve fitting, Least-squares function approximation, Nonlinear system, Computer science, Simple (philosophy)

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