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Published by Springer Nature Switzerland, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Published by Springer Nature Switzerland, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Add to basketPaperback. Condition: Brand New. 163 pages. 9.26x6.11x9.25 inches. In Stock.
Language: English
Published by Springer, Springer Dez 2025, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Taschenbuch. Condition: Neu. Neuware -This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools. 164 pp. Englisch.
Language: English
Published by Springer, Springer Dez 2025, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Taschenbuch. Condition: Neu. Neuware -This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools. 164 pp. Englisch.
Language: English
Published by Springer, Springer Dez 2025, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Taschenbuch. Condition: Neu. Neuware -This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools.
Language: English
Published by Springer, Springer Dez 2025, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Taschenbuch. Condition: Neu. Neuware - This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools.
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Taschenbuch. Condition: Neu. Mathematical Modelling of the Human Brain II | From Glymphatics to Deep Learning | Jørgen S. Dokken (u. a.) | Taschenbuch | xiii | Englisch | 2025 | Springer | EAN 9783032006783 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer, Springer Dez 2025, 2025
ISBN 10: 3032006783 ISBN 13: 9783032006783
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.