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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Analysis for Complex Systems: A Linear Algebra Approach

Data Analysis for Complex Systems: A Linear Algebra Approach

Leibon, Greg
Pauls, Scott
Rockmore, Daniel

Paperback

Series: Primers in Complex Systems, Book 10

AlgebraGeneral MathematicsPhysics

Currently unavailable to order

ISBN10: 0691139180
ISBN13: 9780691139180
Publisher: Princeton University Press
Published: Dec 25 1940
Pages: 168
Language: English

The analysis of complex systems--from financial markets and voting patterns to ecosystems and food webs--can be daunting for newcomers to the subject, in part because existing methods often require expertise across multiple disciplines. This book shows how a single technique--the partition decoupling method--can serve as a useful first step for modeling and analyzing complex systems data. Accessible to a broad range of backgrounds and widely applicable to complex systems represented as high-dimensional or network data, this powerful methodology draws on core concepts in network modeling and analysis, cluster analysis, and a range of techniques for dimension reduction. The book explains these and other essential concepts and provides several real-world examples to illustrate how a data-driven approach can illuminate complex systems.

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