The core activity of Atlas Optimization GmbH is the application of mathematical optimization and machine learning methods to solve complex problems in various fields. The specific activities include:
* Optimization: Development and application of algorithms for solving optimization problems, including Linear Programming, Quadratic Programming, Semidefinite Programming, Mixed Integer Programming, and Dynamic Programming.
* Machine Learning: Development and application of machine learning models to solve problems such as classification, regression, dimensionality reduction, and reinforcement learning.
* Consulting and Services: Provision of consulting services and software solutions to support customers in solving optimization and machine learning problems.
* Courses and Tutorials: Provision of courses and tutorials to impart knowledge and skills in the fields of optimization and machine learning.
The application areas of the core activities include, among others:
* Optimal Design
* Experimental Design
* Scheduling
* Transportation and Material Flow
* Optimal Estimation
* Parameter Estimation
* Function Estimation
* Estimation of Correlation Structures
* Uncertainty Assessment
* Optimal Control
* System Analysis
* Planning Problems
* Robust Optimal Control
* Stochastic Optimal Control
* Reinforcement Learning