Articles liés à Percolation Theory Using Python
Synopsis
This course-based open access textbook delves into percolation theory, examining the physical properties of random media—materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory.
Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis.
Beginning with a simplified model system—a model porous medium—whose mathematical theory is well-established, the book subsequently applies the same framework to realistic random systems. Key topics covered include one- and infinite-dimensional percolation, clusters, scaling theory, diffusion in disordered media, and dynamic processes. Aimed at graduate students and researchers, this textbook serves as a foundational resource for understanding essential concepts in modern statistical physics, such as disorder, scaling, and fractal geometry.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Anders Malthe-Sørenssen is the director of the Center for Computing in Science Education, a Center for Excellence in Education, and a Professor of Physics at the University of Oslo. His research interests span the nanoscale and statistical physics, friction, physics of geological processes, neuroscience and AI. Currently, his teaching efforts are focused on revitalizing undergraduate science courses by seamlessly integrating computational methods, providing students with early exposure to research and industrially relevant problems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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PERCOLATION THEORY USING PYTHON
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Percolation Theory Using Python
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Springer International Publishing AG, 2024
ISBN 10 : 3031598997
ISBN 13 : 9783031598999
Neuf
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Percolation Theory Using Python
Edité par
Springer International Publishing AG, 2024
ISBN 10 : 3031598997
ISBN 13 : 9783031598999
Neuf
PAP
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Percolation Theory Using Python (Lecture Notes in Physics)
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Percolation Theory Using Python: 1029 (Lecture Notes in Physics, 1029)
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PERCOLATION THEORY USING PYTHON
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Percolation Theory Using Python
Edité par
Springer International Publishing AG, CH, 2024
ISBN 10 : 3031598997
ISBN 13 : 9783031598999
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Paperback. Etat : New. 2024 ed. This course-based open access textbook delves into percolation theory, examining the physical properties of random media-materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory.Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis.Beginning with a simplified model system-a model porous medium-whose mathematical theory is well-established, the book subsequently applies the same framework to realistic random systems. Key topics covered include one- and infinite-dimensional percolation, clusters, scaling theory, diffusion in disordered media, and dynamic processes. Aimed at graduate students and researchers, this textbook serves as a foundational resource for understanding essential concepts in modern statistical physics, such as disorder, scaling, and fractal geometry. N° de réf. du vendeur LU-9783031598999
Quantité disponible : 1 disponible(s)
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Percolation Theory Using Python
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Paperback. Etat : Brand New. 224 pages. 9.25x6.10x9.21 inches. In Stock. N° de réf. du vendeur __3031598997
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Percolation Theory Using Python
Edité par
Springer International Publishing, 2024
ISBN 10 : 3031598997
ISBN 13 : 9783031598999
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This course-based open access textbook delves into percolation theory, examining the physical properties of random media-materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory.Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis.Beginning with a simplified model system-a model porous medium-whose mathematical theory is well-established, the book subsequently applies the same framework to realistic random systems. Key topics covered include one- and infinite-dimensional percolation, clusters, scaling theory, diffusion in disordered media, and dynamic processes. Aimed at graduate students and researchers, this textbook serves as a foundational resource for understanding essential concepts in modern statistical physics, such as disorder, scaling, and fractal geometry. N° de réf. du vendeur 9783031598999
Quantité disponible : 1 disponible(s)
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Percolation Theory Using Python
ISBN 10 : 3031598997
ISBN 13 : 9783031598999
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This course-based open access textbook delves into percolation theory, examining the physical properties of random media-materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory.Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis.Beginning with a simplified model system-a model porous medium-whose mathematical theory is well-established, the book subsequently applies the same framework to realistic random systems. Key topics covered include one- and infinite-dimensional percolation, clusters, scaling theory, diffusion in disordered media, and dynamic processes. Aimed at graduate students and researchers, this textbook serves as a foundational resource for understanding essential concepts in modern statistical physics, such as disorder, scaling, and fractal geometry. 214 pp. Englisch. N° de réf. du vendeur 9783031598999
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