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Curve Fitting via the Criterion of Least Squares. Applications of Algebra and Elementary Calculus to Curve Fitting. [and] Linear Programming in Two Dimensions: I. Applications of High School Algebra to Operations Research. Modules and Monographs in Undergraduate Mathematics and Its Applications Project. UMAP Units 321, 453.

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Bibliographic Details
Title: Curve Fitting via the Criterion of Least Squares. Applications of Algebra and Elementary Calculus to Curve Fitting. [and] Linear Programming in Two Dimensions: I. Applications of High School Algebra to Operations Research. Modules and Monographs in Undergraduate Mathematics and Its Applications Project. UMAP Units 321, 453.
Language: English
Authors: Alexander, John W., Rosenberg, Nancy S., Education Development Center, Inc., Newton, MA.
Peer Reviewed: N
Page Count: 87
Publication Date: 1980
Sponsoring Agency: National Science Foundation, Washington, DC.
Document Type: Guides - Classroom - Learner
Descriptors: Algebra, Answer Keys, Calculus, College Mathematics, Computer Programs, Higher Education, Instructional Materials, Learning Modules, Linear Programing, Mathematical Applications, Matrices, Problem Solving, Secondary Education, Secondary School Mathematics
Abstract: This document consists of two modules. The first of these views applications of algebra and elementary calculus to curve fitting. The user is provided with information on how to: 1) construct scatter diagrams; 2) choose an appropriate function to fit specific data; 3) understand the underlying theory of least squares; 4) use a computer program to do desired curve fitting; and 5) use augmented matrix approach to solve simultaneous equations. The second unit provides techniques to formulate simple linear programing problems and solve them graphically. Both modules contain exercises and provide exams. Answers to all problems are supplied. (MP)
Entry Date: 1982
Accession Number: ED218131
Database: ERIC
Description
Abstract:This document consists of two modules. The first of these views applications of algebra and elementary calculus to curve fitting. The user is provided with information on how to: 1) construct scatter diagrams; 2) choose an appropriate function to fit specific data; 3) understand the underlying theory of least squares; 4) use a computer program to do desired curve fitting; and 5) use augmented matrix approach to solve simultaneous equations. The second unit provides techniques to formulate simple linear programing problems and solve them graphically. Both modules contain exercises and provide exams. Answers to all problems are supplied. (MP)