Customer-Oriented Finite Perturbation Analysis for Queueing Networks
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[1] Onno Boxma,et al. Sojourn times in queueing networks , 1989 .
[2] Yu-Chi Ho,et al. On derivative estimation of single-server queues via structural infinitesimal perturbation analysis , 1995, Discret. Event Dyn. Syst..
[3] Jianqiang Hu. Convexity of sample path performance and strong consistency of infinitesimal perturbation analysis estimates , 1992 .
[4] Leyuan Shi. Variance property of discontinuous perturbation analysis , 1996, Winter Simulation Conference.
[5] Laurent Massoulié,et al. Maximal coupling Rare Perturbation Analysis with a random horizon , 1995, Discret. Event Dyn. Syst..
[6] Pierre Brémaud,et al. On the pathwise computation of derivatives with respect to the rate of a point process: The phantom RPA method , 1992, Queueing Syst. Theory Appl..
[7] Christos G. Cassandras,et al. A new approach to the analysis of discrete event dynamic systems , 1983, Autom..
[8] Paul Bratley,et al. A guide to simulation , 1983 .
[9] Hugo Lucca,et al. A New Approach to Compute Performance Sensitivities of Stochastic Discrete Event Dynamic Systems (DEDS) , 1993 .
[10] L. Dai,et al. Optimizing discrete event dynamic systems via the gradient surface method , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.
[11] Gang Bao,et al. First and Second Derivative Estimators for Closed Jackson-Like Queueing Networks Using Perturbation Analysis Techniques , 1997, Discret. Event Dyn. Syst..
[12] Bernd Heidergott,et al. Sensitivity analysis of a manufacturing workstation using perturbation analysis techniques , 1995 .
[13] Christos G. Cassandras,et al. Perturbation analytic methodologies for design and optimization of communication networks , 1988, IEEE J. Sel. Areas Commun..
[14] Nikolai Krivulin. Unbiased estimates for gradients of stochastic network performance measures , 1993 .
[15] Paul Glasserman,et al. Gradient Estimation Via Perturbation Analysis , 1990 .
[16] Dinah W. Cheng,et al. Tandem queues with general blocking: A unified model and comparison results , 1993, Discret. Event Dyn. Syst..
[17] Pirooz Vakili,et al. Uniformization based sensitivity estimation for a class of discrete-event systems , 1994, Discret. Event Dyn. Syst..
[18] Y. Ho,et al. Smoothed (conditional) perturbation analysis of discrete event dynamical systems , 1987 .
[19] R. H. Myers,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[20] Y. Ho,et al. Extensions of infinitesimal perturbation analysis , 1988 .
[21] Y. Ho,et al. Structural infinitesimal perturbation analysis (SIPA) for derivative estimation of discrete-event dynamic systems , 1995, IEEE Trans. Autom. Control..
[22] Y. C. Ho,et al. A New Approach to Determine Parameter Sensitivities of Transfer Lines , 1983 .
[23] V. Nollau. Kushner, H. J./Clark, D. S., Stochastic Approximation Methods for Constrained and Unconstrained Systems. (Applied Mathematical Sciences 26). Berlin‐Heidelberg‐New York, Springer‐Verlag 1978. X, 261 S., 4 Abb., DM 26,40. US $ 13.20 , 1980 .
[24] Linus Schrage,et al. A guide to simulation , 1983 .
[25] Yu-Chi Ho,et al. Functional Estimation with Respect to a Threshold Parametervia Dynamic Split-and-Merge , 1997 .
[26] R. Suri,et al. Perturbation analysis: the state of the art and research issues explained via the GI/G/1 queue , 1989, Proc. IEEE.
[27] Michael C. Fu,et al. Optimization via simulation: A review , 1994, Ann. Oper. Res..
[28] M. Johnson,et al. Sensitivity analysis of serial transfer lines using finite perturbation analysis , 1989 .
[29] George E. P. Box,et al. Empirical Model‐Building and Response Surfaces , 1988 .
[30] Xi-Ren Cao,et al. The phantom customer and marked customer methods for optimization of closed queueing networks with blocking and general service times , 1983, SIGMETRICS '83.
[31] Hans Daduna,et al. Delay time distributions and adjusted transfer rates for Jackson networks , 1993 .
[32] Bernd Heidergott. Infinitesimal perturbation analysis for queueing networks with general service time distributions , 1999, Queueing Syst. Theory Appl..
[33] Harold J. Kushner,et al. wchastic. approximation methods for constrained and unconstrained systems , 1978 .
[34] P. Glynn. A GSMP formalism for discrete event systems , 1989, Proc. IEEE.
[35] Leyuan Shi. Discontinuous perturbation analysis of discrete-event dynamic systems , 1996, IEEE Trans. Autom. Control..
[36] Xi-Ren Cao,et al. First-Order Perturbation Analysis of a Simple Multi-Class Finite Source Queue , 1987, Perform. Evaluation.
[37] Jean-Marc Lasgouttes,et al. Stationary IPA estimates for nonsmooth G/G/1/∞ functionals via palm inversion and level-crossing analysis , 1993, Discret. Event Dyn. Syst..
[38] P. Brémaud,et al. Virtual customers in sensitivity and light traffic analysis via Campbell's formula for point processes , 1993, Advances in Applied Probability.
[39] Jean-Marc Lasgouttes,et al. Stationary IPA estimates for non-smooth functions of the GI/G/1/infini workload , 1992 .
[40] P. Meyer,et al. Probabilities and potential C , 1978 .
[41] Paul Bratley,et al. A guide to simulation (2nd ed.) , 1986 .
[42] Pierre L'Ecuyer,et al. Functional Estimation with Respect to a Threshold Parameter via Dynamic Split-and-Merge , 1997, Discret. Event Dyn. Syst..
[43] Yu-Chi Ho,et al. A gradient technique for general buffer storage design in a production line , 1979 .
[44] George Ch. Pflug,et al. Optimization of Stochastic Models , 1996 .
[45] Christos G. Cassandras,et al. Infinitesimal and finite perturbation analysis for queueing networks , 1982, 1982 21st IEEE Conference on Decision and Control.
[46] Martin I. Reiman,et al. Simterpolations: estimating an entire queueing function from a single sample path , 1987, WSC '87.