aderrors:master commitshttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commits/master2019-01-11T01:44:10+01:00https://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/c79fd8376036040eee4daece40ca2d56c78dcd50Small update in documentation2019-01-11T01:44:10+01:00Alberto Ramosalberto.ramos@desy.dehttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/50084a79cf2dec7d5b135a551e74946359160a00Including pdf for documentation and bibliography file2019-01-11T01:37:43+01:00Alberto Ramosalberto.ramos@desy.dehttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/15e3f5cde1f1c349a15dd24a5d86c79a63daf56bAdds supports for gaps in the MC histories2019-01-11T01:37:03+01:00Alberto Ramosalberto.ramos@desy.dehttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/b2fe6cd2482be24e3a8ba81b4174cb128d234f53tau_exp can be changed when calling uwerr()2019-01-11T01:16:32+01:00Alberto Ramosalberto.ramos@desy.dehttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/eb8149a92c9545cda08dbe091fb1c66a0cd59a5bAdd routine for dobs generation for scalars and known derivatives2019-01-11T01:14:16+01:00Alberto Ramosalberto.ramos@desy.dehttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/82c4c57a3ff955f5e453cf75cdd34c95aa3c4688Solves bug in length of BDIO character strings2019-01-11T01:13:00+01:00Alberto Ramosalberto.ramos@desy.dehttps://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/b9c2bd4b01774eff601febc9d8c0fc2b46e07670Update README.md. Corrected covariance computation.2018-09-20T15:44:12+02:00Alberto Ramosalberto.ramos@desy.de
- README.md contains the reference [arXiv:1809.01289]
- Corrected bug in te computations of the covariance for the case
where there is no Monte Carlo data.https://gitlab.ift.uam-csic.es/alberto/aderrors/-/commit/bbf64edafa4f0f4e9f96c71b22966fab74b77b35Complete version of the aderrors library2018-09-05T02:44:12+02:00Alberto Ramosalberto.ramos@desy.de
aderrors is a fortran 2008 library for error analysis of MC data with
the following features:
- Exact linear error propagation, even in iterative algorithms
(i.e. error propagation in fit parameters).
- Handles data from any number of ensembles (i.e. simulations with
different parameters).
- Support for replicas (i.e. several runs with the same simulation
parameters).
- Standalone portable implementation without any external
dependencies.
- Fast computation of autocorrelation functions with the FFT
package (see <a href="http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html" rel="nofollow noreferrer noopener" target="_blank">http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html</a>).
- Exact determination of gradients and Hessians of arbitrary
functions.