The python interface classes for VitaOptimum
VitaOptimum is a library which solvers are designed to find a globally best solution of non-linear models in the possible or known presence of multiple local optima and constraints. The python package contains interface classes for the library. VitaOptimum Library efficiently handles any type of arguments to optimize including continuous, mixed-variables, combinatorial permutations, integer or binary. It can deal with any type of constraints: boundary, equality or inequality ones. The library gives freedom to express models in a language that are closer to reality, which makes the final solution closer to reality.
There are many fields of their application, for example:
Advanced Engineering Design
Data Analysis
Financial Forecasting
Portfolio and Risk Management
Process Control
Robot Design
Packing
Logistics
Telecommunications
System Biology
Computational Physics and Chemistry
Biotechnology
Advanced Statistics
Scientific Modeling
Artificial Intelligence
Machine and Deep Learning
etc.
In order to use the python interface VO or VOPlus library is needed. It can be downloaded from the official web site (see links below). Also a license file is needed in order to use the library. The license file can be requested via email vo@skyworkflows.com along with a short description of your research.
Requirements
VitaOptimum library 1.x
Python 3.7 and higher
Python packages: numpy, matplotlib, retrying
Links
The official web site: http://skyworkflows.com/vo
The pip web page: https://pypi.org/project/vitaoptimum
Metadata
Release files for vitaoptimum 1.5.8
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| vitaoptimum-1.5.8-py3-none-any.whl | Python 3 | none | any | Details for vitaoptimum-1.5.8-py3-none-any.whl |
Release files / vitaoptimum-1.5.8-py3-none-any.whl
| Download URL | vitaoptimum-1.5.8-py3-none-any.whl |
|---|---|
| Size | 40.7 kB |
| Tags | Python 3 |
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