### 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 2d-data viewer with Matplotlib

This is a very simple, but practical 2d-data 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 2d-data viewer with Matplotlib

This is a very simple, but practical 2d-data viewer, which uses only matplotlib widgets. Click on the image or the plots to get a cross section - x or y depending ...

• #### Simple interactive 2d-data viewer

This is a very simple, but practical 2d-data viewer, which uses only matplotlib widgets. Click on the image or the plots to get a cross section - x or y depending ...

• #### Simple interactive 2d-data viewer

This is a very simple, but practical 2d-data 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 ...