Nonlinear Regression With Linear Constraints: An Extension of the Magnified Diagonal Method

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Abstract

With the recent appearance of efficient quadratic programming algorithms, the well-known “magnified diagonal” method of nonlinear regression is now easily extended to include linear inequality constraints. One such extension is proposed and some of its properties are discussed. © 1970, ACM. All rights reserved.

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Shrager, R. I. (1970). Nonlinear Regression With Linear Constraints: An Extension of the Magnified Diagonal Method. Journal of the ACM (JACM), 17(3), 446–452. https://doi.org/10.1145/321592.321597

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