Results 271 to 280 of about 335,777 (296)
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2019
This chapter further investigates the constitutive elements of the experimental foundation of computing. It first introduces the different notions of models, then overviews the types of computer simulations from the literature, and finally explores the various purposes attached to their use as implementations of computational models.
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This chapter further investigates the constitutive elements of the experimental foundation of computing. It first introduces the different notions of models, then overviews the types of computer simulations from the literature, and finally explores the various purposes attached to their use as implementations of computational models.
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2008
On-line mathematical models have been used successfully for computer controlled operation of SPEAR and PEP. The same model control concept is being implemented for the operation of the LINAC and for the Damping Ring, which will be part of the Stanford Linear Collider (SLC).
Lee, M. J. +3 more
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On-line mathematical models have been used successfully for computer controlled operation of SPEAR and PEP. The same model control concept is being implemented for the operation of the LINAC and for the Damping Ring, which will be part of the Stanford Linear Collider (SLC).
Lee, M. J. +3 more
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1990
The chapter presents a state of the art review of modelling and simulation for industrial process control. Introduction to mathematical modelling, validation of models, and numerical methods for solution are included. Both lumped and distributed parameter systems are covered.
J. K. Pal, Spyros G. Tzafestas
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The chapter presents a state of the art review of modelling and simulation for industrial process control. Introduction to mathematical modelling, validation of models, and numerical methods for solution are included. Both lumped and distributed parameter systems are covered.
J. K. Pal, Spyros G. Tzafestas
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2018
During product development, measurements are expensive due to personal effort or restricted resources such as semi-anechoic chambers. It is straightforward to put this workload into a computer which simulates the measurement setup or even the road reality.
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During product development, measurements are expensive due to personal effort or restricted resources such as semi-anechoic chambers. It is straightforward to put this workload into a computer which simulates the measurement setup or even the road reality.
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Simulation Modeling and Analysis.
Journal of the American Statistical Association, 1983R. B. Deal +2 more
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2014
Simulation is a working analogy. Its object is that of providing a facility for the study of issues, processes, or products which are novel or complex by emulating their properties or relations. When analogous systems are constructed, measurements or other observations made on the simulator may be used to predict the characteristics or the behavior of ...
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Simulation is a working analogy. Its object is that of providing a facility for the study of issues, processes, or products which are novel or complex by emulating their properties or relations. When analogous systems are constructed, measurements or other observations made on the simulator may be used to predict the characteristics or the behavior of ...
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2008
Quantitative modelling has been the basis of most of the initial research in operations, labelled as operational research in Europe, and was the basis of initial management consulting and operations research in the US. Initially, quantitative modelling in operational research was orientated very much towards solving real-life problems in OM rather than
Bertrand, J.W.M., Fransoo, J.C.
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Quantitative modelling has been the basis of most of the initial research in operations, labelled as operational research in Europe, and was the basis of initial management consulting and operations research in the US. Initially, quantitative modelling in operational research was orientated very much towards solving real-life problems in OM rather than
Bertrand, J.W.M., Fransoo, J.C.
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2002
How to produce realizations of a spatial stochastic model when they are subject to a set of conditions or constraints? These realizations are called conditional simulations. This paper presents some statistical tools to carry out conditional simulation of spatial stochastic models.
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How to produce realizations of a spatial stochastic model when they are subject to a set of conditions or constraints? These realizations are called conditional simulations. This paper presents some statistical tools to carry out conditional simulation of spatial stochastic models.
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2002
After formulation of the designs rules for a reciprocating displacement micropump based on piezoelectric actuation, the modelling of the micropump will be presented in this chapter. In the full system modelling of the micropump, quasi-static conditions have been assumed in consideration of the low operating frequencies, which effectively render the ...
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After formulation of the designs rules for a reciprocating displacement micropump based on piezoelectric actuation, the modelling of the micropump will be presented in this chapter. In the full system modelling of the micropump, quasi-static conditions have been assumed in consideration of the low operating frequencies, which effectively render the ...
openaire +1 more source