On using discrete random models within decision support systems
From MaRDI portal
Publication:595527
DOI10.1016/0377-2217(84)90204-2zbMath0527.90097OpenAlexW2009253997MaRDI QIDQ595527
Jaap Wessels, J. A. E. E. Van Nunen
Publication date: 1984
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://research.tue.nl/nl/publications/on-using-discrete-random-models-within-decision-support-systems(41b0bf82-809b-47de-8667-76fbadaba4a8).html
Markov and semi-Markov decision processes (90C40) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)
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Methodology for quantitative evaluation and selection of complex systems, Stochastic control theory and operational research
Cites Work
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- The numerical exploitation of periodicity in Markov decision processes
- Solving linear systems by methods based on a probabilistic interpretation
- On iterative optimization ol structured Markov decision processes with discounted rewards
- Approximations of Dynamic, Multilocation Production and Inventory Problems
- Computing Optimal Control Limits for GI/M/S Queuing Systems with Controlled Arrivals
- Iterative Aggregation--A New Approach to the Solution of Large-Scale Problems
- The simplex SON algorithm for LP/embedded network problems
- An Iterative Aggregation Procedure for Markov Decision Processes
- Interactive modeling of computer systems
- FORMASY FOrecasting and Recruitment in MAnpower Systems
- Accelerated Overrelaxation Method
- An Iterative Solution of Two-Dimensional Birth and Death Processes
- Approximations of Dynamic Programs, II
- A method of bisection for discounted Markov decision problems
- The variance of discounted Markov decision processes
- Linear Programming Solutions for Separable Markovian Decision Problems