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 ...

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 ...

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 ...

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 ...

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.

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.

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 ...

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 ...

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 ...

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:

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 ...

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 ...

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 ...