libdlr: Imaginary time calculations using the Discrete Lehmann Representation
Authors: Jason Kaye and Hugo UR Strand (2021)
libdlr is a library providing Fortran subroutines to build and work with the
discrete Lehmann representation (DLR) of single particle imaginary time Green's functions,
as well as a stand-alone Python module pydlr implementing the same functionality.
For more information see the documentation, and the references below.
For a C++ implementation of the DLR, please see cppdlr. For a Julia implementation, see Lehmann.jl.
Citation
If this library helps you to create software or publications, please let us know, and cite
- our repository: https://github.com/jasonkaye/libdlr
- libdlr: Efficient imaginary time calculations using the discrete Lehmann representation, Jason Kaye, Kun Chen, and Hugo U.R. Strand, Comput. Phys. Commun. 280, 108458, 2022. [arXiv:2110.06765]
- Discrete Lehmann representation of imaginary time Green's functions, Jason Kaye, Kun Chen, and Olivier Parcollet, Phys. Rev. B 105, 235115, 2022. [arXiv:2107.13094]
Contact
Please email jkaye@flatironinstitute.org with any and all questions.
License
libdlr is licensed under the Apache License, Version 2.0, for more information see the LICENSE file.
1 maintainer
Metadata
1 maintainer
Release files for pydlr 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydlr-1.0.1.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydlr-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.1 kB
Release files / pydlr-1.0.1.tar.gz
| Download URL | pydlr-1.0.1.tar.gz |
|---|---|
| Size | 15.7 kB |
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| Download URL | pydlr-1.0.1-py3-none-any.whl |
|---|---|
| Size | 17.4 kB |
| Tags | Python 3 |
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