IBM Workshop
Skip to content. | Skip to navigation
Continuous Optimization
Prof. Dr. Oliver Stein (Karlsruhe Institute of Technology)
Description
Continuous decision variables arise in various practical applications of optimization, ranging from parameter fitting and geometrical problems to questions of sensitivity analysis and robustness.
The theory and methodology of continuous optimization provides a comprehensive framework to handle such problems. In many other disciplines of operations research, like mixed-integer programming, multi-objective programming, and dynamic programming, the results of continuous optimization provide fundamental contributions.
We welcome submissions dealing with original research in theoretical foundations, numerical solution methods, and practical applications of continuous optimization.
