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ORCIDACM Transactions on Modeling and Computer Simulation, Volume 33
Volume 33, Number 1-2, April 2023
- Cyrille Mascart
, David R. C. Hill, Alexandre Muzy, Patricia Reynaud-Bouret:
Efficient Simulation of Sparse Graphs of Point Processes. 1:1-1:27 - Runan Wang, Giuliano Casale, Antonio Filieri:
Estimating Multiclass Service Demand Distributions Using Markovian Arrival Processes. 2:1-2:26 - Chenxiao Song, Reiichiro Kawai:
Batching Adaptive Variance Reduction. 3:1-3:24 - Pia Wilsdorf, Anja Wolpers, Jason Hilton, Fiete Haack, Adelinde M. Uhrmacher:
Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns. 4:1-4:27 - Pierangelo di Sanzo:
Replication of Computational Results Report for "Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns". 5:1-5:3 - Junxiao Xue, Mingchuang Zhang, Hui Yin:
A Personality-based Model of Emotional Contagion and Control in Crowd Queuing Simulations. 6:1-6:23 - Cy P. Chan, Anu Kuncheria, Jane MacFarlane:
Simulating the Impact of Dynamic Rerouting on Metropolitan-scale Traffic Systems. 7:1-7:29
Volume 33, Number 3, July 2023
- Jean-Marc Jézéquel, Antonio Vallecillo:
Uncertainty-aware Simulation of Adaptive Systems. 8:1-8:19
- Tingyu Zhu, Haoyu Liu, Zeyu Zheng:
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. 9:1-9:34 - Wang Cen, Peter J. Haas:
NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs. 10:1-10:26
Volume 33, Number 4, October 2023
- Ruihang Wang, Deneng Xia, Zhiwei Cao, Yonggang Wen, Rui Tan, Xin Zhou:
Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction. 11:1-11:24 - Harun Avci, Barry L. Nelson, Eunhye Song, Andreas Wächter:
Using Cache or Credit for Parallel Ranking and Selection. 12:1-12:28
- Alessandro Abate, Andrea Marin:
Introduction to the Special Issue on QEST 2021. 13:1-13:2 - Maryam Akbari-Moghaddam, Douglas G. Down:
SEH: Size Estimate Hedging Scheduling of Queues. 14:1-14:17 - Grzegorz Kielanski, Benny Van Houdt:
Performance Analysis of Work Stealing Strategies in Large-Scale Multithreaded Computing. 15:1-15:23 - Laura Carnevali, Marco Paolieri, Riccardo Reali, Enrico Vicario:
Compositional Safe Approximation of Response Time Probability Density Function of Complex Workflows. 16:1-16:26 - Timo P. Gros, Joschka Groß, Daniel Höller, Jörg Hoffmann, Michaela Klauck, Hendrik Meerkamp, Nicola J. Müller, Lukas Schaller, Verena Wolf:
DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning - Extended Version. 17:1-17:28 - Carina da Silva, Stefan Schupp, Anne Remke:
Optimizing Reachability Probabilities for a Restricted Class of Stochastic Hybrid Automata via Flowpipe Construction. 18:1-18:27
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