Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it has emerged as a powerful means of analysis and design with applications in several areas of engineering and science. The principle of importance sampling is described in this paper and attention is focussed on some of the subtleties involved in its implementation. To reach a broad audience of practising engineers and scientists, mathematical rigour has been maintained at a comfortable level
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
This study presents an importance sampling method for assessing system performance using stochastic ...
International audienceWhen systems are complex and critical, and when we are interested in their dep...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
The estimation of rare event probabilities is probably one of the most chal-lenging topics in Monte ...
Importance sampling is one of the classical variance reduction techniques for increasing the efficie...
International audienceMonte Carlo simulations are a classical tool to analyse physical systems. When...
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
In the present work we study the important sampling method. This method serves as a variance reducti...
Stochastic simulation is an important and practical technique for computing probabilities of ...
In molecular dynamics, enhanced sampling methods enable the collection of better statistics of rare ...
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
This study presents an importance sampling method for assessing system performance using stochastic ...
International audienceWhen systems are complex and critical, and when we are interested in their dep...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
Importance sampling has had its origin in Monte Carlo simulation and in the last 15 years or so, it ...
The estimation of rare event probabilities is probably one of the most chal-lenging topics in Monte ...
Importance sampling is one of the classical variance reduction techniques for increasing the efficie...
International audienceMonte Carlo simulations are a classical tool to analyse physical systems. When...
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
In the present work we study the important sampling method. This method serves as a variance reducti...
Stochastic simulation is an important and practical technique for computing probabilities of ...
In molecular dynamics, enhanced sampling methods enable the collection of better statistics of rare ...
As transistor dimensions of Static Random AccessMemory (SRAM) become smaller with each new technolog...
This study presents an importance sampling method for assessing system performance using stochastic ...
International audienceWhen systems are complex and critical, and when we are interested in their dep...