Tillsten
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Identifier #: 19
Permalink to this profile: http://scpyce.org/user/19/
Items created/edited by: Tillsten
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Generating confidence intervals via model comparsion. Using leastsq to fit data it is possible to calculate an estimation of error using the diagonal of covariance matrix. This has some drawbacks, especially if there is a strong ...Tillsten on 27 March 2012 (revision 4)

Generating confidence intervals via model comparsion. Using leastsq to fit data it is possible to calculate an estimation of error using the diagonal of covariance matrix. This has some drawbacks, especially if there is a strong ...Tillsten on 25 March 2012 (revision 3)

Generating confidence intervals via model comparsion. Using leastsq to fit data it is possible to calculate an estimation of error using the diagonal of covariance matrix. This has some drawbacks, especially if there is a strong ...Tillsten on 25 March 2012 (revision 2)

Generating confidence intervals via model comparsion. Using leastsq to fit data it is possible to calculate an estimation of error using the diagonal of covariance matrix. This has some drawbacks, especially if there is a strong ...Tillsten on 24 March 2012

Using Prony's method to fit a sum of exponentials This a basic implementation of Prony’s method. In this form, it is very susceptible to noise.Tillsten on 10 November 2011 (revision 2)

Using Prony's metho to fit a sum of exponentials This a basic implementation of Prony’s method. In this form, it is very susceptible to noise.Tillsten on 10 November 2011

Building a simple interactive 2ddata viewer with Matplotlib This is a very simple, but practical 2ddata viewer, which uses only matplotlib widgets. Click on the image or the plots to get a cross section  x or y depending ...Tillsten on 02 September 2011 (revision 4)

Building a simple interactive 2ddata viewer with Matplotlib This is a very simple, but practical 2ddata viewer, which uses only matplotlib widgets. Click on the image or the plots to get a cross section  x or y depending ...Tillsten on 29 August 2011 (revision 3)

Simple interactive 2ddata viewer This is a very simple, but practical 2ddata viewer, which uses only matplotlib widgets. Click on the image or the plots to get a cross section  x or y depending ...Tillsten on 19 August 2011 (revision 2)

Simple interactive 2ddata viewer This is a very simple, but practical 2ddata viewer, which uses only matplotlib widgets. Click on the image or the plots, to get a crossection. Example:Tillsten on 19 August 2011

pymls  solving bounded linear least squares problems Based on mls_alloc from the matlab toolbox Qcat by Ola Harkegard, this package allows to solve bounded least squares problems. It is also possible to put weights on your columns ...Tillsten on 03 August 2011 (revision 3)

pymls  solving bounded linear least squares problems Based on mls_alloc from the matlab toolbox Qcat by Ola Harkegard, this package allows to solve bounded least squares problems. It is also possible to put weights on your columns ...Tillsten on 30 July 2011 (revision 2)

pymls  solving bounded least squares problems Based on mls_alloc from the matlab toolbox Qcat by Ola Harkegard, this package allows to solve bounded least squares problems. It is also possible to put weights on your columns ...Tillsten on 30 July 2011