discretize

Discretization tools for finite volume and inverse problems

These details have been verified by PyPI

Maintainers

jcapriot lheagy rowanc1 thast

These details have not been verified by PyPI

Project links

Development Status
- 4 - Beta
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- Python
Topic

Project description

https://zenodo.org/badge/DOI/10.5281/zenodo.596411.svg

https://img.shields.io/badge/Google%20group-simpeg-da5247.svg

discretize - A python package for finite volume discretization.

The vision is to create a package for finite volume simulation with a focus on large scale inverse problems. This package has the following features:

modular with respect to the spacial discretization
built with the inverse problem in mind
supports 1D, 2D and 3D problems
access to sparse matrix operators
access to derivatives to mesh variables

https://raw.githubusercontent.com/simpeg/figures/master/finitevolume/cell-anatomy-tensor.png

Currently, discretize supports:

Tensor Meshes (1D, 2D and 3D)
Cylindrically Symmetric Meshes
QuadTree and OcTree Meshes (2D and 3D)
Logically Rectangular Meshes (2D and 3D)

Installing

discretize is on pypi

pip install discretize

To install from source

git clone https://github.com/simpeg/discretize.git
python setup.py install

Citing discretize

Please cite the SimPEG paper when using discretize in your work:

Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.

BibTex:

@article{cockett2015simpeg,
  title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
  author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
  journal={Computers \& Geosciences},
  year={2015},
  publisher={Elsevier}
}

Links

Website: http://simpeg.xyz

Documentation: http://discretize.simpeg.xyz

Code: https://github.com/simpeg/discretize

Tests: https://travis-ci.org/simpeg/discretize

Bugs & Issues: https://github.com/simpeg/discretize/issues

Questions: https://groups.google.com/forum/#!forum/simpeg

Chat: http://slack.simpeg.xyz/

Project details

These details have been verified by PyPI

Maintainers

jcapriot lheagy rowanc1 thast

These details have not been verified by PyPI

Project links

Development Status
- 4 - Beta
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- Python
Topic

Release history Release notifications | RSS feed

0.11.1

Nov 6, 2024

0.11.0

Oct 25, 2024

0.10.0

Oct 27, 2023

0.9.0

Jun 6, 2023

0.8.3

Jan 27, 2023

0.8.2

Aug 17, 2022

0.8.1

Aug 17, 2022

0.8.0

May 12, 2022

0.7.4

Apr 21, 2022

0.7.3

Feb 28, 2022

0.7.2

Dec 6, 2021

0.7.1

Oct 7, 2021

0.7.0

Apr 30, 2021

0.6.3

Mar 2, 2021

0.6.2

Nov 26, 2020

0.6.1

Nov 18, 2020

0.6.0

Nov 17, 2020

0.5.1

Sep 4, 2020

0.5.0

Sep 2, 2020

0.4.15

Jul 24, 2020

0.4.14

Jul 4, 2020

0.4.13

Jun 23, 2020

0.4.12

Jun 6, 2020

0.4.11

Jan 11, 2020

0.4.10

Aug 14, 2019

0.4.9

Aug 6, 2019

0.4.8

Jul 8, 2019

0.4.7

Jul 5, 2019

0.4.6

Jul 3, 2019

0.4.5

Jun 28, 2019

0.4.4

May 23, 2019

0.4.3

May 15, 2019

0.4.2

Apr 26, 2019

0.4.1

Apr 22, 2019

This version

0.4.0

Apr 18, 2019

0.3.11

Apr 4, 2019

0.3.10

Mar 18, 2019

0.3.9

Feb 26, 2019

0.3.8

Jan 8, 2019

0.3.7

Dec 8, 2018

0.3.6

Dec 7, 2018

0.3.5

Dec 2, 2018

0.3.4

Nov 5, 2018

0.3.3

Oct 23, 2018

0.3.2

Jul 25, 2018

0.3.1

Jul 22, 2018

0.3.0

Jul 20, 2018

0.2.1

Jul 12, 2018

0.2.0

Jul 11, 2018

0.1.19

Apr 6, 2018

0.1.18

Mar 11, 2018

0.1.17

Mar 2, 2018

0.1.16

Feb 28, 2018

0.1.15

Feb 16, 2018

0.1.14

Jan 21, 2018

0.1.13

Jan 8, 2018

0.1.12

Jan 8, 2018

0.1.11

Dec 7, 2017

0.1.10

Dec 5, 2017

0.1.9

Jul 7, 2017

0.1.8

Jun 22, 2017

0.1.7

Jun 13, 2017

0.1.6

May 18, 2017

0.1.5

Apr 30, 2017

0.1.5b0 pre-release

Apr 5, 2017

0.1.4

Feb 27, 2017

0.1.3

Feb 9, 2017

0.1.3b1 pre-release

Feb 9, 2017

0.1.3b0 pre-release

Feb 9, 2017

0.1.2

Feb 9, 2017

0.1.1

Jan 9, 2017

0.1.1b1 pre-release

Jan 9, 2017

0.1.1b0 pre-release

Jan 9, 2017

0.1.0

Jan 9, 2017

0.0.0

Jul 16, 2016

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

discretize-0.4.0.tar.gz (552.7 kB view details)

Uploaded Apr 18, 2019 Source

Built Distributions

discretize-0.4.0-cp36-cp36m-win_amd64.whl (496.0 kB view details)

Uploaded Apr 19, 2019 CPython 3.6m Windows x86-64

discretize-0.4.0-cp36-cp36m-win32.whl (395.7 kB view details)

Uploaded Apr 19, 2019 CPython 3.6m Windows x86

discretize-0.4.0-cp35-cp35m-win_amd64.whl (474.1 kB view details)

Uploaded Apr 19, 2019 CPython 3.5m Windows x86-64

discretize-0.4.0-cp35-cp35m-win32.whl (382.2 kB view details)

Uploaded Apr 19, 2019 CPython 3.5m Windows x86

discretize-0.4.0-cp27-cp27m-win_amd64.whl (507.0 kB view details)

Uploaded Apr 19, 2019 CPython 2.7m Windows x86-64

discretize-0.4.0-cp27-cp27m-win32.whl (403.6 kB view details)

Uploaded Apr 19, 2019 CPython 2.7m Windows x86

File details

Details for the file discretize-0.4.0.tar.gz.

File metadata

Download URL: discretize-0.4.0.tar.gz
Upload date: Apr 18, 2019
Size: 552.7 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.15

File hashes

Hashes for discretize-0.4.0.tar.gz
Algorithm	Hash digest
SHA256	`67d3fca741cda7fe51df1d303916599114622d76f462d2b23c89f30d5141f469`
MD5	`eed5e0264eddab51185a072221ca59cb`
BLAKE2b-256	`bab7263b89416c3b921bbfbcb1fc2051733667de950daf6060315ee5c914bcb6`

See more details on using hashes here.

Provenance

File details

Details for the file discretize-0.4.0-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: discretize-0.4.0-cp36-cp36m-win_amd64.whl
Upload date: Apr 19, 2019
Size: 496.0 kB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for discretize-0.4.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`06bdf7094d896f5fc4bf2c68a4d71dd5a5257b537c16b941bf5cf1d55d29c431`
MD5	`7a6ef9debf5292d79b0257dd13591b06`
BLAKE2b-256	`482d194624e1aee979288c009208c4c6cd7a28cc984b9ca044656054fabf50e2`

See more details on using hashes here.

Provenance

File details

Details for the file discretize-0.4.0-cp36-cp36m-win32.whl.

File metadata

Download URL: discretize-0.4.0-cp36-cp36m-win32.whl
Upload date: Apr 19, 2019
Size: 395.7 kB
Tags: CPython 3.6m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for discretize-0.4.0-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`f0d0fe553991f48192c35d0de6d688c8ef26e1302352073cd178cc6a3ff71958`
MD5	`06950cc8fd07807231d584e46753bfcd`
BLAKE2b-256	`3ae6dd50106e892ee8e258a5fa99f1bec5e1774d22a29e3d73b5e99b1b89d833`

See more details on using hashes here.

Provenance

File details

Details for the file discretize-0.4.0-cp35-cp35m-win_amd64.whl.

File metadata

Download URL: discretize-0.4.0-cp35-cp35m-win_amd64.whl
Upload date: Apr 19, 2019
Size: 474.1 kB
Tags: CPython 3.5m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.14.2 setuptools/27.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2

File hashes

Hashes for discretize-0.4.0-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`9833471c3580584952fdce5c58477b2398782bfe1a49e6b277cf8df95bba99ec`
MD5	`ae66f42901218fc0729ed250e84ae93c`
BLAKE2b-256	`2e0611da90df233757b77c6a213e14bc102f0074661e1ecc0f5c112a52f20654`

See more details on using hashes here.

Provenance

File details

Details for the file discretize-0.4.0-cp35-cp35m-win32.whl.

File metadata

Download URL: discretize-0.4.0-cp35-cp35m-win32.whl
Upload date: Apr 19, 2019
Size: 382.2 kB
Tags: CPython 3.5m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.14.2 setuptools/27.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2

File hashes

Hashes for discretize-0.4.0-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`1f2b28a66f0116337b00e7cc1ece1f2d0cf450b594114f4734efd2f1d97d89d0`
MD5	`828982c894a8694d1864b4951b132e8b`
BLAKE2b-256	`b5db811544af379cce87027ff4a92b86a5c4ecd8f3f0cdbe27f8ca8f1923187d`

See more details on using hashes here.

Provenance

File details

Details for the file discretize-0.4.0-cp27-cp27m-win_amd64.whl.

File metadata

Download URL: discretize-0.4.0-cp27-cp27m-win_amd64.whl
Upload date: Apr 19, 2019
Size: 507.0 kB
Tags: CPython 2.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.15

File hashes

Hashes for discretize-0.4.0-cp27-cp27m-win_amd64.whl
Algorithm	Hash digest
SHA256	`d6245a4e09805fe76d9f63c86ad370c62eacb44b412f1305997fab7128734d97`
MD5	`30f04483120f7bf83000e90ee7352236`
BLAKE2b-256	`bf90bed61f5409cbadc2966788b5dcb9934e1c3b09707f499858e782d7d1fb93`

See more details on using hashes here.

Provenance

File details

Details for the file discretize-0.4.0-cp27-cp27m-win32.whl.

File metadata

Download URL: discretize-0.4.0-cp27-cp27m-win32.whl
Upload date: Apr 19, 2019
Size: 403.6 kB
Tags: CPython 2.7m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.15

File hashes

Hashes for discretize-0.4.0-cp27-cp27m-win32.whl
Algorithm	Hash digest
SHA256	`780b0b11615c594cc77e8538e1fcd62ab6d7619054edbd529f7109c280f33b1b`
MD5	`194e0614c2986232f97e0236c3f1ed95`
BLAKE2b-256	`821f1379021570ce1c4d1a11152a190177accf25219d136f3885898e7995c61a`

See more details on using hashes here.

discretize 0.4.0

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Installing

Citing discretize

Links

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance