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{ "item_title" : "When Things Grow Many", "item_author" : [" Lawrence Schulman "], "item_description" : "Aimed at advanced undergraduates and graduate students, iWhen Things Grow Many/i is an accessible and engaging textbook introducing the theory of statistical mechanics, as well as its fascinating real-world applications. The book's original approach, which covers interdisciplinary applications of statistical mechanics to a wide range of subjects, including chemistry, biology, linguistics, economics, sociology and more, is bound to appeal to a wide audience. While the first part of the book introduces the various methods of statistical physics, including complexity, emergence, universality, self-organized criticality, power laws and other timely topics, the final sections focus on specific relevance of these methods to the social, biological and physical sciences. The mathematical content is woven throughout the book in the form of equations, as well as further background and explanations being provided in footnotes and appendices.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/19/896/192/0198961928_b.jpg", "price_data" : { "retail_price" : "45.00", "online_price" : "45.00", "our_price" : "45.00", "club_price" : "45.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
When Things Grow Many|Lawrence Schulman

When Things Grow Many : Complexity, Universality and Emergence in Nature

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Overview

Aimed at advanced undergraduates and graduate students, iWhen Things Grow Many/i is an accessible and engaging textbook introducing the theory of statistical mechanics, as well as its fascinating real-world applications. The book's original approach, which covers interdisciplinary applications of statistical mechanics to a wide range of subjects, including chemistry, biology, linguistics, economics, sociology and more, is bound to appeal to a wide audience.

While the first part of the book introduces the various methods of statistical physics, including complexity, emergence, universality, self-organized criticality, power laws and other timely topics, the final sections focus on specific relevance of these methods to the social, biological and physical sciences. The mathematical content is woven throughout the book in the form of equations, as well as further background and explanations being provided in footnotes and appendices.

This item is Non-Returnable

Details

  • ISBN-13: 9780198961925
  • ISBN-10: 0198961928
  • Publisher: Oxford University Press
  • Publish Date: October 2025
  • Dimensions: 9.4 x 6.5 x 0.7 inches
  • Shipping Weight: 1.3 pounds
  • Page Count: 304

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