Stochastic tunneling

In numerical analysis, stochastic tunneling (STUN) is an approach to global optimization based on the Monte Carlo method-sampling of the function to… (More)
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Topic mentions per year

Topic mentions per year

1999-2018
01219992018

Papers overview

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2015
2015
We consider a multistage cancer model in which cells are arranged in a d-dimensional integer lattice. Starting with all wild-type… (More)
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2014
2014
Genetic Algorithms (GA) combine mutational and recombination operators to then select between individuals. Thereby, competition… (More)
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2013
2013
This paper presents a novel localization scheme in the 3D wireless domain that employs cross correlation in backscattered signal… (More)
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2011
2011
This paper presents a novel wireless localization scheme in the three dimensional domain that employs stochastic optimization… (More)
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2010
2010
This paper develops a dynamically adaptive stochastic tunneling (DAST) algorithm to avoid the “freezing” problem commonly found… (More)
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2009
2009
  • Andrew J. Tolleya, Mark Wymanb
  • 2009
We reconsider the dynamics of stochastic or thermal tunneling in theories with non-minimal kinetic terms such as DBI inflation. A… (More)
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2009
2009
  • Andrew J. Tolleya, Mark Wymanb
  • 2009
We reconsider the dynamics of stochastic or thermal tunneling in theories like Dirac-Born-Infeld inflation that have non-minimal… (More)
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2005
2005
We analyze wealth condensation for a wide class of stochastic economy models on the basis of the economic analog of thermodynamic… (More)
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2004
2004
A novel hybrid optimization method called quantum stochastic tunneling has been recently introduced. Here, we report its… (More)
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2004
2004
Using a cascadic version of the stochastic tunneling method we perform an all-atom database screen over 186,000 flexible ligands… (More)
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