pyGIMLi

pyGIMLi is an open-source multi-method library for modelling and inversion in geophysics.

Modelling and InversionGeophysics
  487

Contributor

contributed at 2019-07-08

Authorship

Homepage:  
View
Is authorship not correct? Feed back

Classification(s)

Application-focused categoriesNatural-perspectiveSolid-earth regions

Model Description

English {{currentDetailLanguage}} English

Quoted from: https://github.com/gimli-org/gimli

pyGIMLi is an open-source library for modelling and inversion and in geophysics. The object-oriented library provides management for structured and unstructured meshes in 2D and 3D, finite-element and finite-volume solvers, various geophysical forward operators, as well as Gauss-Newton based frameworks for constrained, joint and fully-coupled inversions with flexible regularization.

What is pyGIMLi suited for?

  • analyze, visualize and invert geophysical data in a reproducible manner
  • forward modelling of (geo)physical problems on complex 2D and 3D geometries
  • inversion with flexible controls on a-priori information and regularization
  • combination of different methods in constrained, joint and fully-coupled inversions
  • teaching applied geophysics (e.g. in combination with Jupyter notebooks)

What is pyGIMLi NOT suited for?

  • for people that expect a ready-made GUI for interpreting their data

Model Metadata

Name {{metadata.overview.name}}
Version {{metadata.overview.version}}
Model Type {{metadata.overview.modelType}}
Model Domain
{{domain}}
Sacle {{metadata.overview.scale}}

There is no overview about this model. You can click to add overview.

Purpose {{metadata.design.purpose}}
Principles
{{principle}}
Incorporated Models
{{incorporatedModel}}
Model part of larger framework: {{metadata.design.framework}}
Incorporated Models
{{process}}

There is no design info about this model. You can click to add overview.

Information {{metadata.usage.information}}
Initialization {{metadata.usage.initialization}}
Hardware Requirements {{metadata.usage.hardware}}
Software Requirements {{metadata.usage.software}}
Inputs
{{input}}
Outputs
{{output}}

There is no usage info about this model. You can click to add overview.

How to Cite

GIMLi Development Team (2019). pyGIMLi, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/d3df6a6c-c02b-4172-9e36-665e3cf7938d
Copy

QR Code

Contributor(s)

Initial contribute: 2019-07-08

Authorship

Homepage:  
View
Is authorship not correct? Feedback

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









You can link related {{typeName}} from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Related Items
Related Items

You can link resource from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

These authorship information will be submitted to the contributor to review.

Cancel Submit
Model Classifications
Cancel Submit
Localizations + Add
{{ item.label }} {{ item.value }}
Model Name :
Cancel Submit
Name:
Version:
Model Type:
Model Domain:
Scale:
Purpose:
Principles:
Incorporated models:

Model part of

larger framework

Process:
Information:
Initialization:
Hardware Requirements:
Software Requirements:
Inputs:
Outputs:
Cancel Submit
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
Cancel Submit
Add Cancel

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
Cancel Confirm