Wireless-Access-Point-Optimization | Python script implementation that suggests the allocation
kandi X-RAY | Wireless-Access-Point-Optimization Summary
kandi X-RAY | Wireless-Access-Point-Optimization Summary
Wireless-Access-Point-Optimization is a Python library. Wireless-Access-Point-Optimization has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Python script implementation that suggests the allocation of wireless access points within a floor plan using GPU and Simulated Annealing features as the chosen meta-heuristic.
Python script implementation that suggests the allocation of wireless access points within a floor plan using GPU and Simulated Annealing features as the chosen meta-heuristic.
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Wireless-Access-Point-Optimization has a low active ecosystem.
It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are 10 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Wireless-Access-Point-Optimization is current.
Quality
Wireless-Access-Point-Optimization has no bugs reported.
Security
Wireless-Access-Point-Optimization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Wireless-Access-Point-Optimization is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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Wireless-Access-Point-Optimization 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 not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Wireless-Access-Point-Optimization and discovered the below as its top functions. This is intended to give you an instant insight into Wireless-Access-Point-Optimization implemented functionality, and help decide if they suit your requirements.
- Convert from F_F_f to k
- Simulate a game
- Compute the objective function of a matrix
- The objective function
- Calculate absorption
- Simulates simulated erosion
- Simulate simulatedannealing
- A helper function for unalorna
- Optimized objective function
- Simulate the convex objective function
- Main function
- Calculate geracao
- Define a simple variable
- Prints out the queuedeae
- Simulate a simulatedannealing
- Return a list of all layers in dxf file
- Print the result of f
- Convert amino acid to floorplan
- Return the size of a floor plan
- Perturb a matrix
- Prints out information about configurations
- Define variables
- Simulate annealing
- Extract nums points in a circle
- Checks to see if two points intersect
- Calculates absorption in a board
- Obtain the objective function
- Solves the given maze
- Generate geracao
- Returns a list of all lines in dxf file
- Helper function to consume a parea de parede de parede de parede
- Reads the walls from a dxf file
Get all kandi verified functions for this library.
Wireless-Access-Point-Optimization Key Features
No Key Features are available at this moment for Wireless-Access-Point-Optimization.
Wireless-Access-Point-Optimization Examples and Code Snippets
No Code Snippets are available at this moment for Wireless-Access-Point-Optimization.
Community Discussions
No Community Discussions are available at this moment for Wireless-Access-Point-Optimization.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Wireless-Access-Point-Optimization
You can download it from GitHub.
You can use Wireless-Access-Point-Optimization like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Wireless-Access-Point-Optimization like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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