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Co-Simulation - An Empirical Survey: Applications, Recent Developments and Future Challenges.

, , , , , and . Simul. Notes Eur., 30 (2): 73-76 (2020)

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Co-Simulation - An Empirical Survey: Applications, Recent Developments and Future Challenges., , , , , and . Simul. Notes Eur., 30 (2): 73-76 (2020)Testing trivializing maps in the Hybrid Monte Carlo algorithm., and . Comput. Phys. Commun., 182 (10): 2107-2114 (2011)Co-simulation Between Trnsys and Simulink Based on Type155., , and . SEFM Workshops, volume 10729 of Lecture Notes in Computer Science, page 315-329. Springer, (2017)Machine Learning to Approximate Solutions of Ordinary Differential Equations: Neural Networks vs. Linear Regressors.. ICCS (4), volume 11539 of Lecture Notes in Computer Science, page 169-177. Springer, (2019)An Empirical Survey on Co-simulation: Promising Standards, Challenges and Research Needs., , , , , , and . CoRR, (2019)An empirical survey on co-simulation: Promising standards, challenges and research needs., , , , , , and . Simul. Model. Pract. Theory, (2019)A Methodology to Compare Different Co-simulation Interfaces: A Thermal Engineering Case Study., , and . SIMULTECH, page 410-415. SciTePress, (2017)A Rule-Based Smart Control for Fail-Operational Systems., , , and . IEA/AIE, volume 11606 of Lecture Notes in Computer Science, page 137-145. Springer, (2019)A General Method to Compare Different Co-simulation Interfaces: Demonstration on a Case Study., , and . SIMULTECH (Selected Papers), volume 873 of Advances in Intelligent Systems and Computing, page 351-365. Springer, (2017)