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Queuing theory.
概要
作品:
16 作品在 15 項出版品 15 種語言
書目資訊
Queuing Theory and Telecommunications = Networks and Applications /
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An Introduction to Queueing Theory = Modeling and Analysis in Applications /
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Multiaccess, reservations & queues
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Level crossing methods in stochastic models
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Queueing theory for telecommunications = discrete time modelling of a single node system /
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Advances in queueing theory and network applications
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An Introduction to Queueing Theory and Matrix-Analytic Methods
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Fuzzy Control of Queuing Systems
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Rapid modelling for increasing competitiveness = tools and mindset /
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Retrial queueing systems = a computational approach /
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Performance analysis of queuing and computer networks
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Analysis and synthesis of computer systems
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Fundamentals of queuing systems = statistical methods for analyzing queuing models /
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Queueing Theory with Applications to Packet Telecommunication
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Stochastic models in queueing theory
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Math Applications in Computer Science.
Computer Communication Networks.
Probability Theory and Stochastic Processes.
Data transmission systems- Mathematical models.
Signal theory (Telecommunication)
Multiple access protocols (Computer network protocols)
Complexity.
Computer Systems Organization and Communication Networks.
Computer networks- Evaluation.
Information Systems Applications (incl.Internet)
Artificial Intelligence (incl. Robotics)
Queuing theory.
Computer systems- Evaluation.
Mathematics.
Operations research.
Reservation systems.
Simulation and Modeling.
Operations Research, Mathematical Programming.
Operations Research/Decision Theory.
Automatic control.
Engineering.
Network performance (Telecommunication)
Statistics.
Engineering Economics, Organization, Logistics, Marketing.
Computational Science and Engineering.
Operations Research, Management Science.
Soft computing.
Production/Logistics.
Computer networks.
Telecommunication- Traffic.
Fuzzy systems.
Industrial and Production Engineering.
Models and Principles.
Algebra.
Performance and Reliability.
Statistics
Control Engineering.
Electronic and Computer Engineering.
Telecommunication systems.
Stochastic processes.
Mathematical Modeling and Industrial Mathematics.
Markov processes.
Iterative methods (Mathematics)
System Performance and Evaluation.
Communications Engineering, Networks.
Applications of Mathematics.
Stochastic models.
Computer Science.
Information and Communication, Circuits.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Probability and Statistics in Computer Science.
Telecommunication- Mathematics.
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