£105.81

Springer Essentials of Monte Carlo Simulation Textbook

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Description

Master the fundamentals of Monte Carlo methods with this specialized text from Springer. This book is designed for those needing to understand basic computer simulation techniques to address complex systems that are too difficult to solve through analytical methods alone. Readers learn to take a system of interest and build algorithmic models using computer code. These models emulate internal system workings, allowing for effective simulation. By running these models multiple times in a random sample way, you can gather necessary data for various output variables. Once the simulation is complete, the text guides you through analyzing the resulting data using ordinary statistical methods. This approach provides a practical way to study complex systems through computational modeling and statistical analysis, making it a valuable resource for those studying computing and software simulation.

Key Features

Learn fundamental Monte Carlo methods using basic computer simulation techniques to solve complex problems.

Develop algorithmic models that emulate how internal systems work through computer code.

Apply ordinary statistical methods to analyze data collected from various output variables.

Gain experience running models in a random sample way to generate comprehensive datasets.

Study systems that are too complex to be solved through traditional analytical methods.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 January 2015
Listed Since
29 January 2015

Barcode

No barcode data available

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