Selfsimilar Processes (Princeton Series in Applied Mathematics)
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Selfsimilar Processes (Princeton Series in Applied Mathematics)

by Paul Embrechts

applied mathematics Stochastic Processes Fractals
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Selfsimilar Processes, from the Princeton Series in Applied Mathematics, offers an in-depth exploration of selfsimilarity in mathematical contexts. Paul Embrechts presents foundational concepts crucial for understanding scaling behaviors in applied fields. Ideal for mathematicians and researchers seeking precise theoretical frameworks.

About This Book

This book, part of the Princeton Series in Applied Mathematics, examines selfsimilar processes, a key topic in modern mathematical analysis.

Authored by Paul Embrechts, it provides a rigorous treatment suitable for researchers and advanced students in the field.

The text focuses on theoretical aspects, offering insights into processes that exhibit scaling properties across different levels.

As a used book in good condition, it remains a valuable resource for academic libraries and personal collections.

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