... arachidonate (10–65 lm).Concluding remarks: advantages of progresscurve analysis combined with Monte Carlo simulation Our findings illustrate the general possibility for amodulator to change the kinetic ... implementation of theexperimental error. The application of error models Pki;jin the MonteCarlo simulations has the advantage overthe real error in that it reflects the trend in the error ... (OA) and arachidonate (AA), or, according to Model III, in thepresence of stearate (SA). Using the MonteCarlo proceduredescribed in the Materials and methods, 1000 synthetic samplesets were...
... steel with using the dedicated system of MYO-101, having scintillation detector of YAP(Ce) and gamma-ray of 60 keV of Am-241 source, by Monte- Carlosimulationusing the code of MCNP. The simulation ... the field of application of nuclear technique in industry in Vietnam. Keywords: Monte- Carlo simulation, MonteCarlo N-Particle, Backscattering gamma, Scintillation detector, Nuclear technique. ... to support and compare them with experimental results, research method of MonteCarlo simulation by code of MCNP (Monte Carlo N-Particles) for thickness measurement based on the effect of backscattering...
... benefi t to the organization when MonteCarlosimulation was implemented heavily. MonteCarlosimulation applications in various disciplines MonteCarlosimulation has been successful in ... retirement has begun. Application of MonteCarlosimulation in project management Review of MonteCarlosimulation applications in project management MonteCarlo simulation, while not yet widely ... events. Risk ManagementExploring MonteCarloSimulation Applications55project managers ’ reluctance to use MonteCarlo simulation, once the Monte Carlo simulation technique is thoroughly...
... available simulation add-in for Excel is Crystal Ball 2000, which will be usedin this example.How did MonteCarlosimulation get its name? Monte Carlosimulation was named for Monte Carlo, Monaco, ... you can analyze.This is where MonteCarlosimulation comes in handy.WHAT IS MONTECARLO SIMULATION? What do we mean by " ;simulation? "When we use the word simulation, we refer to any ... difficult toreproduce. MonteCarlosimulation is a form of simulation that randomly generates values foruncertain variables over and over to simulate a model.Without the aid of simulation, a spreadsheet...
... steel with using the dedicated system of MYO-101, having scintillation detector of YAP(Ce) and gamma-ray of 60 keV of Am-241 source, by Monte- Carlosimulationusing the code of MCNP. The simulation ... the field of application of nuclear technique in industry in Vietnam. Keywords: Monte- Carlo simulation, MonteCarlo N-Particle, Backscattering gamma, Scintillation detector, Nuclear technique. ... to support and compare them with experimental results, research method of MonteCarlo simulation by code of MCNP (Monte Carlo N-Particles) for thickness measurement based on the effect of backscattering...
... 59103 = 1350 simulations) using 5000000 MonteCarlo histories each, again following the recommendations in the NXEGS documentation. Using the same processor as before, we find that each simulation ... example, [2-4]). A new, proprietary MonteCarlo based system, NXEGS, provides an automated alternative to traditional commissioning. NXEGS is a suite of MonteCarlo applications for radiotherapy, ... intended to make MonteCarlo radiotherapy calculation attainable by clinics of modest technical and human resources, as 1) its use requires no particular knowledge of MonteCarlo and 2) commissioning...
... 23 (2007) 99-104 99 Study on Monte- Carlo calculation of peak efficiencies of the superpure Hp Ge detector (Gmx) in environmental gamma spectrometry with using MCNP4C2 Le Van Ngoc*, Nguyen ... Hanoi, Vietnam Received 3 August 2007; received in revised form 17 October 2007 Abstract. Monte- Carlo modeling allows calculating the detector efficiency in gamma spectrometry of environmental ... environmental sample, in which the different radionuclides are present) are calculated based on MCNP4C2 -Monte- Carlo multi-purpose radiation transport code system developed in the Los-Alamos laboratory,...
... the algorithm for simulation of skip hires can beprogrammed as a Maple procedure. Before considering the procedure we will start with 10 Introduction to simulation and Monte Carlo Then the following ... simulated by breaking down the calculation into easier parts using the structure of the network, the probability can be estimated usingMonte Carlo. In fact, if ‘minimum’ is replaced by ‘maximum’ we ... whenthe integrand can be written down.The words MonteCarlo and simulation tend to be used interchangeably in theliterature. Here a simulation is defined as a controlled experiment, usually...
... Linguistics, vol.9, nos.3 and 4, September and December 1966] Historical Change in Language UsingMonteCarlo Techniques* by Sheldon Klein, Carnegie Institute of Technology, Pittsburgh, Pennsylvania, ... system, which can be viewed as performing MonteCarlo simu- lations of group, language change, has been successfully tested in several computer runs using an extremely simple model of linguistic ... very large population. The term Monte Carlo, ” adopted because of its gambling connotations, refers to the use of random numbers as determiners of events in a simulation. The events that take...
... with variance reduction techniques in MonteCarlo simulation, such as antithetic and common random numbers, control random variables, conditional Monte Carlo, stratified sampling, and importance ... contrast, when using screening, one obtains an accurate low-dimensional importance sampling estimator. Chapter 6 gives a concise treatment of the generic Markov chain MonteCarlo (MCMC) method ... sensitivity analysis and MonteCarlo optimization of simulated systems. Because of their complexity, the performance evaluation of discrete-event sys- tems is usually studied by simulation, and it...
... effects. Monte Carlo Dose CalculationBEAMnrc [1] was used to simulate the linear accelerator.This is a MonteCarlosimulation application based onEGSnrc [12], a software package designed for Monte Carlo ... ismultifactorial, representing a combination of errors from Monte Carlo simulation, image registration, and phan-tom measurements.In the MonteCarlo simulations, the statistical uncer-tainties in the ... derived from using all ten phases. However, considering that both Monte Carlosimulation and deformable image registra-tion are time consuming calculations, the DVH of thecumulative dose using just...
... xiGlossary xiii1 Introduction to simulation and MonteCarlo 11.1 Evaluating a definite integral 21.2 MonteCarlo is integral estimation 41.3 An example 51.4 A simulationusing Maple 71.5 Problems ... sequence appear random. Simulation and Monte Carlo: With applications in finance and MCMC J. S. Dagpunarâ 2007 John Wiley & Sons, Ltd 6 Introduction to simulation and Monte Carlo Since Xn+1depends ... decreasing in K.In that case ZKwill have a unique maximum. 2 Introduction to simulation and Monte Carlo Since simulations provide an estimate of a parameter of interest, there is always someerror,...
... generating variates from adistribution with densityfx= e−xon support0 . Simulation and Monte Carlo: With applications in finance and MCMC J. S. Dagpunarâ 2007 John Wiley & Sons, ... defined as those forms ofdependence (or nonuniformity) that are detrimental to a particular Monte Carlo application. For example, in a k-dimensional definite integration, it is the uniformityof ... modulusgenerator using the Mersenne prime m = 231−1 and would like the multiplier a ≈m/2 =10737418245. All primitive roots can be found within, say, 10 of this number using thecode below:>...