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Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 /
Computer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics.
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| Format: | Texto biblioteca |
| Language: | eng |
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Berlin, Heidelberg : Springer Berlin Heidelberg,
1998
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| Subjects: | Computer science., Computer simulation., Physics., Atoms., Statistical physics., Dynamical systems., Computer Science., Simulation and Modeling., Mathematical Methods in Physics., Numerical and Computational Physics., Statistical Physics, Dynamical Systems and Complexity., Atomic, Molecular, Optical and Plasma Physics., |
| Online Access: | http://dx.doi.org/10.1007/BFb0105456 |
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KOHA-OAI-TEST:2076612018-07-30T23:37:51ZAdvances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / Kertész, János. editor. Kondor, Imre. editor. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg,1998.engComputer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics.to Monte Carlo algorithms -- Cluster algorithms -- Optimized monte carlo methods -- Monte Carlo on parallel and vector computers -- Error estimates on averages of correlated data -- Stochastic differential equations -- Frustrated systems: Ground state properties via combinatorial optimization -- Molecular dynamics.Computer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics.Computer science.Computer simulation.Physics.Atoms.Statistical physics.Dynamical systems.Computer Science.Simulation and Modeling.Mathematical Methods in Physics.Numerical and Computational Physics.Statistical Physics, Dynamical Systems and Complexity.Atomic, Molecular, Optical and Plasma Physics.Springer eBookshttp://dx.doi.org/10.1007/BFb0105456URN:ISBN:9783540696759 |
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COLPOS |
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México |
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America del Norte |
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Departamento de documentación y biblioteca de COLPOS |
| language |
eng |
| topic |
Computer science. Computer simulation. Physics. Atoms. Statistical physics. Dynamical systems. Computer Science. Simulation and Modeling. Mathematical Methods in Physics. Numerical and Computational Physics. Statistical Physics, Dynamical Systems and Complexity. Atomic, Molecular, Optical and Plasma Physics. Computer science. Computer simulation. Physics. Atoms. Statistical physics. Dynamical systems. Computer Science. Simulation and Modeling. Mathematical Methods in Physics. Numerical and Computational Physics. Statistical Physics, Dynamical Systems and Complexity. Atomic, Molecular, Optical and Plasma Physics. |
| spellingShingle |
Computer science. Computer simulation. Physics. Atoms. Statistical physics. Dynamical systems. Computer Science. Simulation and Modeling. Mathematical Methods in Physics. Numerical and Computational Physics. Statistical Physics, Dynamical Systems and Complexity. Atomic, Molecular, Optical and Plasma Physics. Computer science. Computer simulation. Physics. Atoms. Statistical physics. Dynamical systems. Computer Science. Simulation and Modeling. Mathematical Methods in Physics. Numerical and Computational Physics. Statistical Physics, Dynamical Systems and Complexity. Atomic, Molecular, Optical and Plasma Physics. Kertész, János. editor. Kondor, Imre. editor. SpringerLink (Online service) Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / |
| description |
Computer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics. |
| format |
Texto |
| topic_facet |
Computer science. Computer simulation. Physics. Atoms. Statistical physics. Dynamical systems. Computer Science. Simulation and Modeling. Mathematical Methods in Physics. Numerical and Computational Physics. Statistical Physics, Dynamical Systems and Complexity. Atomic, Molecular, Optical and Plasma Physics. |
| author |
Kertész, János. editor. Kondor, Imre. editor. SpringerLink (Online service) |
| author_facet |
Kertész, János. editor. Kondor, Imre. editor. SpringerLink (Online service) |
| author_sort |
Kertész, János. editor. |
| title |
Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / |
| title_short |
Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / |
| title_full |
Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / |
| title_fullStr |
Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / |
| title_full_unstemmed |
Advances in Computer Simulation [electronic resource] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / |
| title_sort |
advances in computer simulation [electronic resource] : lectures held at the eötvös summer school in budapest, hungary, 16–20 july 1996 / |
| publisher |
Berlin, Heidelberg : Springer Berlin Heidelberg, |
| publishDate |
1998 |
| url |
http://dx.doi.org/10.1007/BFb0105456 |
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| _version_ |
1756268415780126720 |