Natural complexity :
Material type: TextSeries: Publication details: Princeton Princeton university press 2017Description: xiv, 355 pages : illustrations (some color)ISBN: 9780691176840; 0691176841; 9780691170350; 0691170355Subject(s): Complexity (Philosophy) | Physics | Computational complexity | Biocomplexity | Biocomplexity | Complexity (Philosophy) | Computational complexity | PhysicsDDC classification: 501 Summary: This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems--with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases. Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models.--Item type | Current library | Call number | Status | Date due | Barcode |
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BK | Stack | 501 CHA (Browse shelf (Opens below)) | Available | 49676 |
Browsing Kannur University Central Library shelves, Shelving location: Stack Close shelf browser (Hides shelf browser)
500.82 FEM.2 Feminists and science : critiques and changing perspectives in India | 500.82 GEN The gender and science reader | 501 ALB Albert Einstein Memorial Lectures | 501 CHA Natural complexity : | 501 DAW/M Magic of reality how we know what's really true | 501 ROS/P Philosophy of science: acontemporary introduction | 501 RVG/I An introduction to the history and philosophy of science |
This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems--with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases. Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models.--
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