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Constrained multivariate least-squares optimizer

Project Description

leastsqbound is a enhanced version of scipy’s optimize.leastsq function which allows users to include min, max bounds for each fit parameter. Constraints are enforced by using an unconstrained internal parameter list which is transformed into a constrained parameter list using non-linear functions.

Release History

Release History

This version
History Node

1.1

History Node

1.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
leastsqbound-1.1.tar.gz (6.4 kB) Copy SHA256 Checksum SHA256 Source Jun 26, 2015
leastsqbound-1.1.zip (7.1 kB) Copy SHA256 Checksum SHA256 Source Jun 26, 2015

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