Introduction-to-linear-programming | Introduction to Linear Programming with Python
kandi X-RAY | Introduction-to-linear-programming Summary
kandi X-RAY | Introduction-to-linear-programming Summary
Introduction-to-linear-programming is a Jupyter Notebook library. Introduction-to-linear-programming has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Linear Programming, also sometimes called linear optimisation, involves maximising or minimising a linear objective function, subject to a set of linear inequality or equality constraints. It has great applications in the field of operations management but can be used to solve a range of problems. Leonard Kantrovich was awarded the 1975 Nobel Prize in Economics for the optimal allocation of resources using linear programming.
Linear Programming, also sometimes called linear optimisation, involves maximising or minimising a linear objective function, subject to a set of linear inequality or equality constraints. It has great applications in the field of operations management but can be used to solve a range of problems. Leonard Kantrovich was awarded the 1975 Nobel Prize in Economics for the optimal allocation of resources using linear programming.
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Introduction-to-linear-programming has a low active ecosystem.
It has 116 star(s) with 68 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Introduction-to-linear-programming is current.
Quality
Introduction-to-linear-programming has no bugs reported.
Security
Introduction-to-linear-programming has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Introduction-to-linear-programming does not have a standard license declared.
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Introduction-to-linear-programming releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Introduction-to-linear-programming
Introduction-to-linear-programming Key Features
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Introduction-to-linear-programming Examples and Code Snippets
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