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- Stochastic_tunneling abstract "In numerical analysis, stochastic tunneling (STUN) is an approach to global optimization based on the Monte Carlo method-sampling of the function to be objective minimized in which the function is nonlinearly transformed to allow for easier tunneling among regions containing function minima. Easier tunneling allows for faster exploration of sample space and faster convergence to a good solution.".
- Stochastic_tunneling thumbnail Stun.jpg?width=300.
- Stochastic_tunneling wikiPageExternalLink mrt2.pdf.
- Stochastic_tunneling wikiPageID "563897".
- Stochastic_tunneling wikiPageRevisionID "597243096".
- Stochastic_tunneling hasPhotoCollection Stochastic_tunneling.
- Stochastic_tunneling subject Category:Stochastic_optimization.
- Stochastic_tunneling comment "In numerical analysis, stochastic tunneling (STUN) is an approach to global optimization based on the Monte Carlo method-sampling of the function to be objective minimized in which the function is nonlinearly transformed to allow for easier tunneling among regions containing function minima. Easier tunneling allows for faster exploration of sample space and faster convergence to a good solution.".
- Stochastic_tunneling label "Stochastic tunneling".
- Stochastic_tunneling label "Stochastisches Tunneln".
- Stochastic_tunneling sameAs Stochastisches_Tunneln.
- Stochastic_tunneling sameAs m.02qfw8.
- Stochastic_tunneling sameAs Q2350527.
- Stochastic_tunneling sameAs Q2350527.
- Stochastic_tunneling wasDerivedFrom Stochastic_tunneling?oldid=597243096.
- Stochastic_tunneling depiction Stun.jpg.
- Stochastic_tunneling isPrimaryTopicOf Stochastic_tunneling.
