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Showing 1 to 20 of 65 for “"Monte Carlo techniques"”.
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Mars entry navigation performance analysis using Monte Carlo techniques
… Deterministic simulation in conjunction with Monte Carlo techniques is used to verify navigation performance of an extended Kalman filter. This analysis specifically compares the performance of four feasible instrument packages. examines navigation performance as it varies with changes to …
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Low Earth Orbit Stability Analysis Using Monte-Carlo Techniques
… challenges, advanced modeling and simulation techniques are essential. There are largely two methods to for modelling and simulation: particle-in-box (PIB) methods and Monte Carlo techniques. Historically, the simulation tools developed have been closed source due to governments and companies …
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The Monte Carlo techniques with pulse compression for rough surface scattering
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1996, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1996.
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Applications of Monte Carlo techniques to the study of amorphous polymer deformation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
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The analysis of local structural effects in alloys using total scattering and reverse Monte Carlo techniques
… literature. The recent development of reverse Monte-Carlo (RMC) methods for the analysis of total scattering data has opened a promising route for the assessment of a material's local environment and has already provided important insights into a host of complex chemical systems, including …
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Calculations of the Electron Energy Distribution Function in a Uranium Plasma by Analytic and Monte Carlo Techniques
Made available in DSpace on 2014-12-14T06:25:58Z (GMT). No. of bitstreams: 1 7624039.pdf: 4011883 bytes, checksum: 184c5f905491dbd13b8897127653aa5a (MD5) Previous issue date: 1976
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Using Nuclear data and Monte-Carlo techniques to study areal density and mix in D² inertial confinement fusion implosions
… Opt. Commun. 133, 495 (1997)] were combined with Monte-Carlo simulations to investigate models for determining hot-fuel areal density ([rho]Rhot) in compressed, D2-filled capsules, and to assess the impact of mix and other factors on the determination of pRhot. The results of the Monte-Carlo …
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Ground state and dynamical properties of many-body systems by non conventional Quantum Monte Carlo algorithms
In this work we develop Quantum Monte Carlo techniques suitable for exploring both ground state and dynamical properties of interacting many-body systems. We then apply these techniques to the study of excitations in superfluid He4 and to explore the structure of nuclear systems using chiral …
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Statistical Analysis of Highly Correlated Systems in Biology and Physics
I have also used Path Integral Monte Carlo techniques to explore the limit of rapid rotations, where the Gross-Pitaevskii equation is no longer valid. Interestingly, the Gross-Pitaevskii equation seems to be valid for much higher densities than expected if properly renormalized. I show that, in …
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Improved methods for fast system reliability analysis through machine-learning-based surrogate models
… size grows large, which motivates the use of Monte Carlo techniques to estimate the failure probability. However, Monte Carlo techniques are slow to converge due to the large number of realizations of the infrastructure graph required, each of which requires a connectivity evaluation. To …
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Quantum Monte Carlo studies of dense hydrogen and two-dimensional Bose liquids
Quantum Monte Carlo techniques; in their various incarnations, calculate ground state or finite temperature properties of many-body quantum systems. We apply the path-integral Monte Carlo method to hydrogen at densities and temperatures in the regime of cooperative thermal and pressure …
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A Comparison of the Classification Accuracy of Linear and Quadratic Statistical Discriminant Models versus Linear and Quadratic Programming Discriminant Models
… traditional statistical discriminant analysis. Monte Carlo techniques were used to compute population 1, population 2, and average misclassification rates for the linear discriminant function (LDF), the quadratic discriminant function (QDF), a linear programming discriminant model (LPDM), and a …
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Modelling probabilities of corporate default
… pseudo-likelihood estimation by using Sequential Monte Carlo techniques and pseudo-Bayesian inference. With these techniques, we significantly improve upon our original parameter estimates. The increase in accuracy is most significant when using few samples which mimics real world data availability
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Green's function Monte Carlo calculations of few-nucleon systems
… basis for our variational wave functions and the Monte Carlo techniques used to evaluate expectation values with these wave functions. To determine the exact ground state, Green's function Monte Carlo (GFMC) techniques are used. We review the method of GFMC in general and then discuss its …
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A hybrid hydrodynamic-Monte Carlo simulation of the transport of neutral radicals in low-pressure remote plasma sources
… address these conditions, a hybrid hydrodynamic-Monte Carlo model has been developed. The advective flow field is calculated from the mass and momentum equations. Radical transport is then simulated using Monte Carlo techniques that include inelastic collisions with the background species and …
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Observation of quasi two-body production in pion plus proton goes to neutron plus four charged pions at 8 geV/c
… losses due to finite acceptance are made using Monte Carlo techniques based on a simple baryon exchange model. Comparison is made to another experiment regarding the energy dependence of certain cross sections and a simple power law behavior is observed.
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The Lifted Heston Stochastic Volatility Model
… it using both the cosine method and standard Monte-Carlo techniques. This allows us to back out implied volatilities and compute skew for both models, confirming that the Lifted Heston nests the standard Heston model. We then produce and analyze the skew for Lifted Heston models with a varying …
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An application of short rate modelling involving roll-over risk to caplet pricing
… function is compared to traditional discretised Monte Carlo techniques. The performance of the function proves more accurate and computationally efficient.
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Fault sensitivity and wear-out analysis of VLSI systems
… identify critical bottlenecks in dependability. Techniques to speed up the fault simulation and to perform statistical analysis of fault impact are developed. A wear-out simulation environment is also developed to closely mimic dynamic sequences of wear-out events in a device through time, to …
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