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Monte Carlo Simulations Using Microsoft EXCEL®

About Monte Carlo Simulations Using Microsoft EXCEL®

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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  • Language:
  • English
  • ISBN:
  • 9783031338885
  • Binding:
  • Paperback
  • Pages:
  • 159
  • Published:
  • June 16, 2024
  • Edition:
  • 2023
  • Dimensions:
  • 168x237x14 mm.
  • Weight:
  • 306 g.
  In stock
Delivery: 3-5 business days
Expected delivery: October 13, 2024

Description of Monte Carlo Simulations Using Microsoft EXCEL®

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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