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A neural network approach to performance analysis of tandem lines: The value of analytical knowledge

Computers & operations research, 2023-04, Vol.152, p.106124, Article 106124

2023

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A Note on Gradient Estimation for Maintenance Systems

IEEE transactions on automatic control, 2007-11, Vol.52 (11), p.2141-2145

2007

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Measure-Valued Differentiation for Markov Chains

Journal of optimization theory and applications, 2008-02, Vol.136 (2), p.187-209

2008

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A probabilistic (max, +) approach for determining railway infrastructure capacity

European journal of operational research, 2003-08, Vol.148 (3), p.644-661

2003

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Single-run gradient estimation via measure-valued differentiation

IEEE transactions on automatic control, 2004-10, Vol.49 (10), p.1843-1847

2004

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Complexity reduction in MPC for stochastic max-plus-linear discrete event systems by variability expansion

Automatica (Oxford), 2007-06, Vol.43 (6), p.1058-1063

2007

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A note on the relation between weak derivatives and perturbation realization

IEEE transactions on automatic control, 2002-07, Vol.47 (7), p.1112-1115

2002

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Sensitivity analysis of a manufacturing workstation using perturbation analysis techniques

International journal of production research, 1995-03, Vol.33 (3), p.611-622

HEIDERGOTT, B.

1995

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Taylor series expansions for stationary Markov chains

Advances in applied probability, 2003-12, Vol.35 (4), p.1046-1070

2003

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Optimisation of a single-component maintenance system: A smoothed perturbation analysis approach

European journal of operational research, 1999-11, Vol.119 (1), p.181-190

Heidergott, Bernd

1999

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Measure-Valued Differentiation for Stationary Markov Chains

Mathematics of operations research, 2006-02, Vol.31 (1), p.154-172

2006

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Efficient Updating of Node Importance in Dynamic Real-Life Networks

IFAC-PapersOnLine, 2018, Vol.51 (7), p.64-69

2018

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A characterisation of (max, +)-linear queueing systems

Queueing systems, 2000, Vol.35 (1-4), p.237-262

HEIDERGOTT, Bernd

2000

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Correction: Taylor Series Expansions for Stationary Markov Chains

Advances in applied probability, 2004-12, Vol.36 (4), p.1300-1300

2004

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A Differential Calculus for Random Matrices with Applications to (max, +)-Linear Stochastic Systems

Mathematics of operations research, 2001-11, Vol.26 (4), p.679-699

Heidergott, Bernd

2001

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A weak derivative approach to optimization of threshold parameters in a multicomponent maintenance system

Journal of applied probability, 2001-06, Vol.38 (2), p.386-406

Heidergott, Bernd

2001

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OPTION PRICING VIA MONTE CARLO SIMULATION: A WEAK DERIVATIVE APPROACH

Probability in the engineering and informational sciences, 2001-01, Vol.15 (3), p.335

Heidergott, Bernd

2001

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Variability expansion for performance characteristics of (max,plus)-linear systems

Sixth International Workshop on Discrete Event Systems, 2002. Proceedings, 2002, p.245-250

Heidergott, B.

2002

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Derivatives of Markov Kernels and Their Jordan Decomposition

Journal of applied analysis, 2008-06, Vol.14 (1), p.13-26

2008

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Infinitesimal perturbation analysis for queueing networks with general service time distributions

Queueing systems, 1999, Vol.31 (1-2), p.43-58

HEIDERGOTT, B

1999

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Perturbation analysis of Markov chains

2008 9th International Workshop on Discrete Event Systems, 2008, p.99-104

Heidergott, B.

2008

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Complexity reduction in MPC for stochastic max-plus-linear systems by variability expansion

Proceedings of the 41st IEEE Conference on Decision and Control, 2002, 2002, Vol.3, p.3567-3572 vol.3

2002

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Simultaneous Events in General Queueing Systems and their Impact on Perturbation Analysis Derivative Estimation

DGOR / ÖGOR, p.212-212

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Stochastic optimization for control of maintenance systems

2008 9th International Workshop on Discrete Event Systems, 2008, p.93-98

2008

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A fast approximation algorithm for the Lyapunov exponent of stochastic max-plus systems

2008 9th International Workshop on Discrete Event Systems, 2008, p.49-54

2008

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A neural network approach to performance analysis of tandem lines: The value of analytical knowledge

A Note on Gradient Estimation for Maintenance Systems

Measure-Valued Differentiation for Markov Chains

A probabilistic (max, +) approach for determining railway infrastructure capacity

Single-run gradient estimation via measure-valued differentiation

Complexity reduction in MPC for stochastic max-plus-linear discrete event systems by variability expansion

A note on the relation between weak derivatives and perturbation realization

Sensitivity analysis of a manufacturing workstation using perturbation analysis techniques

Taylor series expansions for stationary Markov chains

Optimisation of a single-component maintenance system: A smoothed perturbation analysis approach

Measure-Valued Differentiation for Stationary Markov Chains

Efficient Updating of Node Importance in Dynamic Real-Life Networks

A characterisation of (max, +)-linear queueing systems

Correction: Taylor Series Expansions for Stationary Markov Chains

A Differential Calculus for Random Matrices with Applications to (max, +)-Linear Stochastic Systems

A weak derivative approach to optimization of threshold parameters in a multicomponent maintenance system

OPTION PRICING VIA MONTE CARLO SIMULATION: A WEAK DERIVATIVE APPROACH

Variability expansion for performance characteristics of (max,plus)-linear systems

Derivatives of Markov Kernels and Their Jordan Decomposition

Infinitesimal perturbation analysis for queueing networks with general service time distributions

Perturbation analysis of Markov chains

Complexity reduction in MPC for stochastic max-plus-linear systems by variability expansion

Simultaneous Events in General Queueing Systems and their Impact on Perturbation Analysis Derivative Estimation

Stochastic optimization for control of maintenance systems

A fast approximation algorithm for the Lyapunov exponent of stochastic max-plus systems

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