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ACM Transactions on Modeling and Computer Simulation, Volume 34
Volume 34, Number 1, January 2024
- Garry M. Jacyna
, Damon Frezza
An Improved Model of Wavelet Leader Covariance for Estimating Multifractal Properties. 1:1-1:22 - Braxton Cuneo
Divergence Reduction in Monte Carlo Neutron Transport with On-GPU Asynchronous Scheduling. 2:1-2:25 - Nan Zhang
Knowledge Equivalence in Digital Twins of Intelligent Systems. 3:1-3:37 - Md. Shalihin Othman
A Prescriptive Simulation Framework with Realistic Behavioural Modelling for Emergency Evacuations. 4:1-4:24
Volume 34, Number 2, April 2024
- Russell R. Barton
Introduction to the Special Issue for INFORMS Simulation Society (I-Sim) Workshop, 2021. 5:1-5:3 - Linyun He
Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data. 6:1-6:27 - Afrooz Jalilzadeh
Stochastic Approximation for Estimating the Price of Stability in Stochastic Nash Games. 7:1-7:24 - Sait Cakmak
Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation. 8:1-8:24 - Juan Ungredda
Bayesian Optimisation for Constrained Problems. 9:1-9:26 - Ziwei Su
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation. 10:1-10:43
- Xiaoliang Wu
Parallel Simulation of Quantum Networks with Distributed Quantum State Management. 11:1-11:28 - Andrea Piccione
Reproducibility Report for the Article: Parallel Simulation of Quantum Networks with Distributed Quantum State Management. 12:1-12:3
Volume 34, Number 3, July 2024
- Marvin K. Nakayama
Sufficient Conditions for Central Limit Theorems and Confidence Intervals for Randomized Quasi-Monte Carlo Methods. 13:1-13:38 - Xinru Li
Projected Gaussian Markov Improvement Algorithm for High-Dimensional Discrete Optimization via Simulation. 14:1-14:29 - Luca Giacomoni
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols. 15:1-15:25
- Erika Ábrahám
Introduction to the Special Issue on QEST 2022, Part 1. 16:1 - Giuliano Casale
LN: A Flexible Algorithmic Framework for Layered Queueing Network Analysis. 17:1-17:26 - Andrey Kofnov
Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. 18:1-18:25 - David Julien
End-to-End Statistical Model Checking for Parameterization and Stability Analysis of ODE Models. 19:1-19:25 - Amin Soltanieh
Rate Lifting for Stochastic Process Algebra by Transition Context Augmentation. 20:1-20:30
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