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Algorithms for sensitivity analysis of Markov systems through potentials and perturbation realization
15 references·1 citing·29 second hop
Algorithms for sensitivity analysis of Markov systems through potentials and perturbation realization (1998)Algorithms for sensitivity analysis of Ma…Perturbation realization, potentials, and sensitivity analysis of Markov processes (1997)Perturbation realization, pot…Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1995)Discrete Event Systems: Sensi…Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1994)Discrete Event Systems: Sensi…Optimization of Queues Using an Infinitesimal Perturbation Analysis-Based Stochastic Algorithm with General Update Times (1993)Optimization of Queues Using …Discrete event systems : modeling and performance analysis (1993)Discrete event systems : mode…On the pathwise computation of derivatives with respect to the rate of a point process: The phantom RPA method (1992)On the pathwise computation o…Extensions and generalizations of smoothed perturbation analysis in a generalized semi-Markov process framework (1992)Extensions and generalization…Using a standard clock technique for efficient simulation (1991)Using a standard clock techni…Gradient Estimation via Perturbation Analysis (1991)Gradient Estimation via Pertu…Sensitivity Analysis for Simulations via Likelihood Ratios (1989)Sensitivity Analysis for Simu…On-line sensitivity analysis of Markov chains (1989)On-line sensitivity analysis …Perturbation Analysis Gives Strongly Consistent Sensitivity Estimates for the M/G/1 Queue (1988)Perturbation Analysis Gives S…Smoothed (conditional) perturbation analysis of discrete event dynamical systems (1987)Smoothed (conditional) pertur…Likelilood ratio gradient estimation (1987)Likelilood ratio gradient est…Infinitesimal and finite perturbation analysis for queueing networks (1983)Infinitesimal and finite pert…The Relations Among Potentials, Perturbation Analysis, and Markov Decision Processes (1998)The Relations Among Potential…Point Processes and Queues (1981)A Unified View of the IPA, SF, and LR Gradient Estimation Techniques (1990)Chapter 5 Performance evaluation of production networks (1993)Estimating Quantile Sensitivities (2008)Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)A Guide to Simulation (1983)Perturbation analysis and optimization of queueing networks (1983)Perturbation analysis: the state of the art and research issues explained via the GI/G/1 queue (1989)Optimization via simulation: A review (1994)A simulation-based approach to two-stage stochastic programming with recourse (1998)A Guide to Sample Average Approximation (2014)Monte Carlo sampling-based methods for stochastic optimization (2014)Poisson Arrivals See Time Averages (1982)Steady-state simulation of queueing processes: survey of problems and solutions (1990)Semi-markov decision problems and performance sensitivity analysis (2003)Basic Ideas for Event-Based Optimization of Markov Systems (2005)Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation (2006)Introduction to Stochastic Processes (2014)A gradient technique for general buffer storage design in a production line (1979)A simulation‐optimization framework for research and development pipeline management (2001)A Programming Model for Time-Synchronized Distributed Real-Time Systems (2007)Optimization for Simulation: Theory vs. Practice (2002)Proceedings of the 2002 Winter Simulation Conference (2002)Simulation optimization: a review of algorithms and applications (2015)Nelder-Mead Simplex Modifications for Simulation Optimization (1996)Simulation optimization methodologies (1999)Minimax analysis of stochastic problems (2002)Stability of Stochastic Programming Problems (2003)Stochastic programming approach to optimization under uncertainty (2007)
this work references cited by second hop

References

  • 1991Gradient Estimation via Perturbation Analysis707 cited
  • 1993Discrete event systems : modeling and performance analysis385 cited
  • 1995Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method383 cited
  • 1994Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method270 cited
  • 1989Sensitivity Analysis for Simulations via Likelihood Ratios253 cited
  • 1988Perturbation Analysis Gives Strongly Consistent Sensitivity Estimates for the M/G/1 Queue226 cited
  • 1987Smoothed (conditional) perturbation analysis of discrete event dynamical systems222 cited
  • 1987Likelilood ratio gradient estimation219 cited
  • 1997Perturbation realization, potentials, and sensitivity analysis of Markov processes208 cited
  • 1983Infinitesimal and finite perturbation analysis for queueing networks172 cited
  • 1991Using a standard clock technique for efficient simulation95 cited
  • 1992On the pathwise computation of derivatives with respect to the rate of a point process: The phantom RPA method85 cited
  • 1989On-line sensitivity analysis of Markov chains83 cited
  • 1993Optimization of Queues Using an Infinitesimal Perturbation Analysis-Based Stochastic Algorithm with General Update Times78 cited

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  • 1992Extensions and generalizations of smoothed perturbation analysis in a generalized semi-Markov process framework61 cited
  • Cited by

    • 1998The Relations Among Potentials, Perturbation Analysis, and Markov Decision Processes53 cited