Hybrid Monte Carlo

Known as: Hamiltonian Monte Carlo 
In mathematics and physics, the hybrid Monte Carlo algorithm, also known as Hamiltonian Monte Carlo, is a Markov chain Monte Carlo method for… (More)
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Topic mentions per year

Topic mentions per year

1985-2018
0204019852018

Papers overview

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Highly Cited
2010
Highly Cited
2010
The paper proposes Metropolis adjusted Langevin and Hamiltonian Monte Carlo sampling methods defined on the Riemann manifold to… (More)
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2008
2008
In this thesis algorithmic improvements and variants for two-flavor lattice QCD simulations with dynamical fermions are studied… (More)
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Review
2006
Review
2006
The past few years have seen considerable progress in algorithmic development for the generation of gauge fields including the… (More)
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2002
2002
Statistical inefficiency often limits the effectiveness of particle filters for high-dimensional Bayesian tracking problems. To… (More)
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2002
2002
Hybrid Monte Carlo (HMC) has been successfully applied to molecular simulation problems since its introduction in the late 1980s… (More)
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Highly Cited
2001
Highly Cited
2001
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a… (More)
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2001
2001
In large scale simulations of lattice QCD with two flavours of mass-degenerate Wilson fermions, the mass of the fermions is still… (More)
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1997
1997
  • Roberto Frezzotti
  • 1997
We present a simulation algorithm for dynamical fermions that combines the multiboson technique with the Hybrid Monte Carlo… (More)
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1997
1997
We propose a variant of the simulated annealing method for optimization in the multivhriate analysis of differentiable functions… (More)
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1992
1992
The probability of accepting a candidate move in the hybrid Monte Carlo algorithm can be increased by considering a transition to… (More)
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