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