000 03504nam a22005175i 4500
001 978-3-031-33886-1
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008 230615s2023 sz | s |||| 0|eng d
020 _a9783031338861
_9978-3-031-33886-1
024 7 _a10.1007/978-3-031-33886-1
_2doi
050 4 _aQC19.2-20.85
072 7 _aPHU
_2bicssc
072 7 _aSCI040000
_2bisacsh
072 7 _aPHU
_2thema
082 0 4 _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.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
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
650 0 _aComputer simulation.
_95106
650 0 _aMathematics
_xData processing.
_919904
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 _c85716
_d85716