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Monte Carlo wave functions

Generalized Pairing Wave Functions and Nodal Properties for Electronic Structure Quantum Monte Carlo

Generalized Pairing Wave Functions and Nodal Properties for Electronic Structure Quantum Monte Carlo

... quantum Monte Carlo (QMC) is one of the most promising many-body elec- tronic structure ...correlated wave functions, which allow the study of many-body effects beyond the reach of mean-field ...

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Quantum Monte Carlo calculations of energy gaps from first principles

Quantum Monte Carlo calculations of energy gaps from first principles

... trial wave functions were used exclusively, and no attempts were made to ex- amine explicitly the nature of finite-size effects in energy gaps themselves, or to explore fixed-node ...

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Fluctuating moments in one and two dimensional Mott insulators

Fluctuating moments in one and two dimensional Mott insulators

... fermionic wave functions at that site, which will appear in the calculation of the Slater determinants as a global phase factor, thus the projected wave function is left unchanged up to a ...

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Uncertainty analysis for a wave energy converter: the Monte Carlo method

Uncertainty analysis for a wave energy converter: the Monte Carlo method

... integral functions is not practical using the law of propagation of uncertainty, because one must provide the standard uncertainty for each measured and influence quantity, and partial derivatives of each DRE, ...

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Applications of the Variational Quantum Monte Carlo Method to the Two-Electron Atoms

Applications of the Variational Quantum Monte Carlo Method to the Two-Electron Atoms

... S. B. Doma et.al [30] used the VMC method to calculate the ground state of the helium atom as well as the ground state of hydrogen negative ion in the presence of a magnetic field regime between 0 a.u. and 10 a.u. They ...

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Incorporation of density-matrix wave functions in Monte Carlo simulations: Application to the frustrated Heisenberg model

Incorporation of density-matrix wave functions in Monte Carlo simulations: Application to the frustrated Heisenberg model

... function Monte Carlo 共 GFMC 兲 simulations are not directly limited by the size of the system but by the efficiency of the importance ...the wave function the minus sign problem is not manifestly ...

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Approximations and Effectiveness of QMC and Other Electronic Structure Methods in Molecules and Solids.

Approximations and Effectiveness of QMC and Other Electronic Structure Methods in Molecules and Solids.

... (Diffusion Monte Carlo) benchmark calculations in history served as Rosetta stone for modern electronic structure ...many-body wave functions in DMC in order to gain highly accurate ...

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Statistical computation with kernels

Statistical computation with kernels

... that functions which are close to one another in the sense of the metric induced by the inner product will have close pointwise ...of functions where the evaluation functional is a continuous ...

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Evolving surface finite element methods for random advection diffusion equations

Evolving surface finite element methods for random advection diffusion equations

... Abstract. In this paper, we introduce and analyse a surface finite element discretization of advection-diffusion equations with uncertain coefficients on evolving hypersurfaces. After stating unique solvability of the ...

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A measurement of the triple gauge boson couplings and W boson polarisation in W-pair production at LEP2

A measurement of the triple gauge boson couplings and W boson polarisation in W-pair production at LEP2

... 5.2. MONTE CARLO GENERATORS_____________________________ m of EXCALIBUR they are not ...production Monte Carlo th a t is used as the back­ ground generator for the qqqq ...

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We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

... In radiotherapy, the dose delivered to patients needs to be determined before the treatment. Therefore, it is necessary to have an accurate method for predicting the dose distribution. In the past, planning computers ...

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A class of finite-dimensional numerically solvable McKean-Vlasov control problems

A class of finite-dimensional numerically solvable McKean-Vlasov control problems

... The Portfolio Selection problem, even though in many aspects similar to the Portfolio Liquidation problem, is interesting in its own right because the control acts only on the variance of the controlled wealth process. ...

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Atmospheric monitoring in H.E.S.S.

Atmospheric monitoring in H.E.S.S.

... of Monte-Carlo simulations has to be performed for various atmospheric conditions in order to provide the proper instrument response functions which then accounts for the atmosphere-induced biases in ...

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MARKET RISK MEASUREMENT

MARKET RISK MEASUREMENT

... • Monte Carlo VaR is similar to historical VaR in that a set of scenarios on the risk factors are put into the option pricing functions to get a set of portfolio values, and then these p[r] ...

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The LIBOR Market Model

The LIBOR Market Model

... While various kernel functions K have been proposed, Fan (1992) demonstrated that the Nadaraya- Watson kernel regression estimator suffers from severe (asymptotic) bias. A generalization of local averaging that ...

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Financial software as a service: A paradigm for risk modelling and analytics

Financial software as a service: A paradigm for risk modelling and analytics

... As discussed in the last paragraph, four major factors contributed to complexity that caused global downturn. An alternative to allow experts of different disciplines working together is to have a platform such as Cloud ...

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Sequential Monte Carlo with transformations

Sequential Monte Carlo with transformations

... The idea of updating a tree by adding leaves dates back to at least Felsenstein (1981), in which he describes, for maxi- mum likelihood estimation, that an effective search strategy in tree space is to add species one by ...

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Highlights from Compass in hadron spectroscopy

Highlights from Compass in hadron spectroscopy

... The Partial-Wave Analysis performed is not just able to extract the gross features of the spectra, but can resolve contributions down to the sub-percent level. One of these waves is 4 ++ 1 + ρ(770) π G, depicted ...

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Kernel methods for Monte Carlo

Kernel methods for Monte Carlo

... Contribution. We develop a framework for kernel sequential Monte Carlo, (KSMC). Similarly to the presented work in adaptive MCMC proposals, KSMC represents the (weighted) particle system of SMC algorithms ...

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Monte Carlo Simulation in Stata

Monte Carlo Simulation in Stata

... replicable Monte Carlo results, use Stata’s set seed command to initialize the random number generator at the top of the do-file (not inside the program!) This will cause the ...

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