000 | 03504nam a22005175i 4500 | ||
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001 | 978-3-031-33886-1 | ||
003 | DE-He213 | ||
005 | 20240730164503.0 | ||
007 | cr nn 008mamaa | ||
008 | 230615s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031338861 _9978-3-031-33886-1 |
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024 | 7 |
_a10.1007/978-3-031-33886-1 _2doi |
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050 | 4 | _aQC19.2-20.85 | |
072 | 7 |
_aPHU _2bicssc |
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_aSCI040000 _2bisacsh |
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_aPHU _2thema |
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_a530.10285 _223 |
100 | 1 |
_aCho, Shinil. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984756 |
|
245 | 1 | 0 |
_aMonte Carlo Simulations Using Microsoft EXCEL® _h[electronic resource] / _cby Shinil Cho. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
300 |
_aIX, 159 p. 134 illus., 106 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSynthesis Lectures on Mathematics & Statistics, _x1938-1751 |
|
505 | 0 | _aProbability distribution functions -- Idea of Monte Carlo simulations -- Brownian motion and diffusion equation -- Quantum Diffusion Monte Carlo Method -- Metropolis-Hastings algorithm for Ising model -- Chaos and fractal -- Appendix. | |
520 | _aThis book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects. In addition, this book: Includes a step-by-step guide to Monte Carlo simulations using Microsoft EXCEL for the analysis and visualization; Provides fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects; Features a working introduction for those who want to learn how to create and run Monte Carlo simulations. | ||
650 | 0 |
_aMathematical physics. _911013 |
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650 | 0 |
_aComputer simulation. _95106 |
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650 | 0 |
_aMathematics _xData processing. _919904 |
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650 | 1 | 4 |
_aComputational Physics and Simulations. _984758 |
650 | 2 | 4 |
_aComputational Mathematics and Numerical Analysis. _931598 |
650 | 2 | 4 |
_aMathematical Physics. _911013 |
710 | 2 |
_aSpringerLink (Online service) _984761 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031338854 |
776 | 0 | 8 |
_iPrinted edition: _z9783031338878 |
776 | 0 | 8 |
_iPrinted edition: _z9783031338885 |
830 | 0 |
_aSynthesis Lectures on Mathematics & Statistics, _x1938-1751 _984762 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-33886-1 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
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