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Handbook of Monte Carlo Methods
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Handbook of Monte Carlo Methods
The Handbook of Monte Carlo Methods is a comprehensive guide to the latest techniques and real-world applications of Monte Carlo simulation.
With over 100 chapters, this book covers everything from fundamentals to advanced topics, including variance reduction, estimation of derivatives, and sensitivity analysis.
The authors provide detailed examples using MATLAB®, allowing readers to work hands-on with the material.
Whether you're a researcher or student in engineering or finance, this handbook is an essential resource for understanding and applying Monte Carlo methods.
Don't miss out on this opportunity to revolutionize your field!
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