tectosaur | Boundary element methods for crustal deformation
kandi X-RAY | tectosaur Summary
kandi X-RAY | tectosaur Summary
tectosaur is a Python library. tectosaur has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Observe the tectonosaurus and the elastosaurus romp pleasantly through the fields of stress.
Observe the tectonosaurus and the elastosaurus romp pleasantly through the fields of stress.
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tectosaur has a low active ecosystem.
It has 15 star(s) with 6 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 4 have been closed. On average issues are closed in 170 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tectosaur is current.
Quality
tectosaur has 0 bugs and 0 code smells.
Security
tectosaur has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tectosaur code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tectosaur is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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tectosaur releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are available. Examples and code snippets are not available.
It has 9983 lines of code, 851 functions and 117 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed tectosaur and discovered the below as its top functions. This is intended to give you an instant insight into tectosaur implemented functionality, and help decide if they suit your requirements.
- Builds and solves the boundary conditions of the mesh
- Return a list of all bc constraints
- Determine if any of the near - point overlap with a given threshold
- Solve an iterative solver
- Builds the constraints on a fault surface
- Calculate the admissibility constraints
- Scaled normals
- Returns a constant stress constraint
- Create an equilibrium constraint
- Create a QD video for the given steps
- Solve an iterative linear solve
- Return a list of depth - traction constraints
- Calculate the kada -ada distance
- Returns the tensor code for a tensor
- Calculate the dispersion of a given point
- Plots the fault plot
- Make a video
- Plot the xsec curve
- Generate parallel video files
- Builds a list of all the meshes
- Plot the results of the solver
- Plots a phase diagram
- Function that runs the fitting algorithm
- Plot fields for a given field
- Generate a refined free surface
- Find two vertices between two vertices
- Plots the fault surface
Get all kandi verified functions for this library.
tectosaur Key Features
No Key Features are available at this moment for tectosaur.
tectosaur Examples and Code Snippets
No Code Snippets are available at this moment for tectosaur.
Community Discussions
No Community Discussions are available at this moment for tectosaur.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tectosaur
Tectosaur requires Python 3.5 or greater.
You will need to have either PyCUDA or PyOpenCL installed. If you have an NVidia GPU, install PyCUDA for best performance. Try running pip install pycuda. If that fails, you can follow the more detailed instructions on the PyCUDA wiki. And here are detailed instructions for installing PyOpenCL.
Install numpy: pip install numpy
git clone https://github.com/tbenthompson/tectosaur.git
git checkout dissertation_stable if you want the somewhat stable version used for my dissertation.
Enter that directory and run pip install .
You will need to have either PyCUDA or PyOpenCL installed. If you have an NVidia GPU, install PyCUDA for best performance. Try running pip install pycuda. If that fails, you can follow the more detailed instructions on the PyCUDA wiki. And here are detailed instructions for installing PyOpenCL.
Install numpy: pip install numpy
git clone https://github.com/tbenthompson/tectosaur.git
git checkout dissertation_stable if you want the somewhat stable version used for my dissertation.
Enter that directory and run pip install .
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Observe the tectonosaurus and the elastosaurus romp pleasantly through the fields of stress.
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