Institute for Algorithms and Complexity (E-11)
Institute for Algorithms and Complexity (E-11)
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Research
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Research of the institute
Research of Prof. Dr. Matthias Mnich
Research of Laura Codazzi
Research of Matthias Kaul
Research of Tobias Stamm
Projects
Projects
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Projects
All projects
2022-2023: Holistic flight planning with reduced noise and pollutant emissions
2021-2024: Data-driven decentralized energy trading
2021-2026: New algorithmic approaches to macromolecular crystallographic analysis
2021-2022: Simultaneous approximation of multi-criteria optimization problems
2021: The key to faster production planning
2021: Cooperation in Electric Vehicle Charging
2021: Quantum Annealing
2020-2023: Resilient broadcasting via independent spanning trees
2019-2021: A fixed-parameter approach towards combinatorial optimization
2020: SARS-CoV-2 containment in dynamic contact networks
2019-2020: Problems in structural and chromatic graph theory
2017-2021: Multivariate algorithms for high-multiplicity scheduling
2014-2021: Kernelization for big data
Teaching
Teaching
Teaching
Teaching
All modules
Graduate seminar: Advanced Algorithms
Graduate module: Algorithm engineering
Graduate module: Algorithmic game theory
Core module: Automata theory and formal languages
Core module: Algorithms and data structures
Graduate module: Linear and nonlinear optimization
Graduate seminar: Algorithms for quantum computing
Graduate seminar: Approximation Algorithms
Graduate seminar: Fine-grained algorithms and complexity
Graduate seminar: Parameterized algorithms
Undergraduate seminar: Advances in dynamic algorithms
Undergraduate seminar: Advances in integer programming
Undergraduate seminar: Advances in scheduling algorithms
Undergraduate seminar: Algorithmic foundations of artificial intelligence
Seminar EIM: Algorithm Engineering
Seminar EIM: Computer Science Unplugged
Undergraduate seminar: Foundations of data science
Undergraduate seminar: Principles of compressed sensing
Undergraduate seminar: Quantum algorithm engineering
Undergraduate seminar: Parameterized Complexity
Theses
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Research of Laura Codazzi
Publications
2022
Gaussian graphical modeling for spectrometric data analysis
Codazzi, Laura; Colombi, Alessandro; Gianella, Matteo; Argiento, Raffaele; Paci, Lucia; Pini, Alessia
Computational Statistics and Data Analysis (2022)
Open Access
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Publisher DOI
