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Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Language: English
Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Language: English
Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Published by Oxford University Press, Oxford, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Paperback. Condition: new. Paperback. Aimed at advanced undergraduates and graduate students, When Things Grow Many 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 toappeal 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 othertimely 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. An accessible and interdisciplinary introduction to the applications of statistical mechanics across the sciences. The book contains a discussion of the methods of statistical physics and includes mathematical explanations alongside guidance to enable the reader to translate theory into practice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Language: English
Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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paperback. Condition: New. Special order direct from the distributor.
Language: English
Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Language: English
Published by Oxford University Press, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Paperback. Condition: Brand New. 304 pages. 6.69x0.59x9.65 inches. In Stock.
Language: English
Published by Oxford University Press, Oxford, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Paperback. Condition: new. Paperback. Aimed at advanced undergraduates and graduate students, When Things Grow Many 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 toappeal 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 othertimely 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. An accessible and interdisciplinary introduction to the applications of statistical mechanics across the sciences. The book contains a discussion of the methods of statistical physics and includes mathematical explanations alongside guidance to enable the reader to translate theory into practice. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Oxford University Press, Oxford, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. Aimed at advanced undergraduates and graduate students, When Things Grow Many 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 toappeal 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 othertimely 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. An accessible and interdisciplinary introduction to the applications of statistical mechanics across the sciences. The book contains a discussion of the methods of statistical physics and includes mathematical explanations alongside guidance to enable the reader to translate theory into practice. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Oxford University Press Okt 2025, 2025
ISBN 10: 0198961928 ISBN 13: 9780198961925
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Taschenbuch. Condition: Neu. Neuware - Aimed at advanced undergraduates and graduate students, When Things Grow Many 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.