Mixed-Integer Programming for Cycle Detection in Nonreversible Markov Processes
DOI10.1137/16M1091162zbMath1391.60170arXiv1609.02063OpenAlexW2963343287MaRDI QIDQ4643799
Ambros M. Gleixner, Konstantin Fackeldey, Isabel Beckenbach, Andreas Grever, Jakob Witzig, Leon Eifler, Marcus Weber
Publication date: 29 May 2018
Published in: Multiscale Modeling & Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1609.02063
Computational methods in Markov chains (60J22) Discrete-time Markov processes on general state spaces (60J05) Mixed integer programming (90C11) Combinatorial optimization (90C27) Statistical thermodynamics (82B30)
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- Modularity of directed networks: cycle decomposition approach
- Low-discrepancy and low-dispersion sequences
- On the solution of traveling salesman problems
- Identification of almost invariant aggregates in reversible nearly uncoupled Markov chains
- Robust Perron cluster analysis in conformation dynamics
- Combinatorial optimization. Polyhedra and efficiency (3 volumes)
- An introduction to Markov state models and their application to long timescale molecular simulation
- An Automatic Method of Solving Discrete Programming Problems
- Computing the nearest reversible Markov chain
- Handbook of Markov Chain Monte Carlo
- L’algebre de Boole et ses applications en recherche operationnelle
- An Efficient Heuristic Procedure for Partitioning Graphs
- On the Approximation of Complicated Dynamical Behavior
- The Complexity of Multiterminal Cuts
- Preprocessing and Probing Techniques for Mixed Integer Programming Problems
- Computing the Minimal Rebinding Effect Included in a Given Kinetics
- Finding Dominant Structures of Nonreversible Markov Processes
- Constraint Integer Programming: A New Approach to Integrate CP and MIP
- A tree-search algorithm for mixed integer programming problems
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