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  • Monte Carlo Simulations Using Microsoft EXCEL®

    Monte Carlo Simulations Using Microsoft EXCEL® by Cho, Shinil;

    Series: Synthesis Lectures on Mathematics & Statistics;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 64.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        26 622 Ft (25 355 Ft + 5% VAT)
      • Discount 20% (cc. 5 324 Ft off)
      • Discounted price 21 298 Ft (20 284 Ft + 5% VAT)

    26 622 Ft

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    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2023
    • Publisher Springer International Publishing
    • Date of Publication 16 June 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031338885
    • Binding Paperback
    • See also 9783031338854
    • No. of pages159 pages
    • Size 240x168 mm
    • Language English
    • Illustrations IX, 159 p. 134 illus., 106 illus. in color. Illustrations, black & white
    • 571

    Categories

    Long description:

    This 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.

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    Table of Contents:

    Probability 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.

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