In mathematics and physics, the hybrid Monte Carlo algorithm, also known as Hamiltonian Monte Carlo, is a Markov chain Monte Carlo method forâ€¦Â (More)

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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 toâ€¦Â (More)

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2008

2008

- Oliver Witzel
- 2008

In this thesis algorithmic improvements and variants for two-flavor lattice QCD simulations with dynamical fermions are studiedâ€¦Â (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 theâ€¦Â (More)

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2002

2002

Statistical inefficiency often limits the effectiveness of particle filters for high-dimensional Bayesian tracking problems. Toâ€¦Â (More)

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2002

2002

- Lingyu Chen, Zhaohui Qin, Jun S. Liu
- 2002

Hybrid Monte Carlo (HMC) has been successfully applied to molecular simulation problems since its introduction in the late 1980sâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- Kiam Choo, David J. Fleet
- ICCV
- 2001

Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is aâ€¦Â (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 stillâ€¦Â (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 Carloâ€¦Â (More)

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1997

1997

- Rosendo Salazar
- 1997

We propose a variant of the simulated annealing method for optimization in the multivhriate analysis of differentiable functionsâ€¦Â (More)

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1992

1992

- Radford M. Neal
- 1992

The probability of accepting a candidate move in the hybrid Monte Carlo algorithm can be increased by considering a transition toâ€¦Â (More)

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