Articles liés à Modeling Life: The Mathematics of Biological Systems
Synopsis
Tackles highly relevant material across the life sciences, using tools best-suited to the field
Driven by real-world examples drawn from biology, ecology, medicine, and beyond
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Alan Garfinkel received his undergraduate degree from Cornell in Mathematics and Philosophy, and a PhD from Harvard in Philosophy and Mathematics. After some years of practicing philosophy of science, Garfinkel transitioned to medical research, applying qualitative dynamics to phenomena in medicine and physiology. Along with James Weiss and Zhilin Qu, he studies cardiac arrhythmias from the point of view of nonlinear dynamics.
Jane Shevtsov earned her BS in Ecology, Behavior and Evolution from UCLA, and her PhD in Ecology from the University of Georgia. Her main research interests lie in mathematical models of food webs and ecosystems.
Yina Guo received her PhD from Nankai University in Control Engineering. Her PhD thesis used partial differential equations to explain the branching structure of the lung. Her computer simulations of branching processes were featured on the cover of the Journal of Physiology. She is particularly interested in the use of graphics and visualization techniques in both research and teaching.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Modeling Life: The Mathematics of Biological Systems (eng)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Modeling Life : The Mathematics of Biological Systems
Edité par
Springer International Publishing AG, 2017
ISBN 10 : 3319597302
ISBN 13 : 9783319597300
Ancien ou d'occasion
Couverture rigide
Vendeur : Better World Books: West, Reno, NV, Etats-Unis
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Etat : Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 54903817-6
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Modeling Life
Edité par
Springer-Verlag Gmbh Okt 2017, 2017
ISBN 10 : 3319597302
ISBN 13 : 9783319597300
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler's method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science 445 pp. Englisch. N° de réf. du vendeur 9783319597300
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Modeling Life: The Mathematics of Biological Systems
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Modeling Life: The Mathematics of Biological Systems
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Hardcover. Etat : Brand New. 445 pages. 9.75x7.00x1.00 inches. In Stock. N° de réf. du vendeur 3319597302
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MODELING LIFETHE MATHEMATICS OF BIOLOGICAL SYSTEMS
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MODELING LIFETHE MATHEMATICS OF BIOLOGICAL SYSTEMS
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Modeling Life
Edité par
Springer International Publishing, 2017
ISBN 10 : 3319597302
ISBN 13 : 9783319597300
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alan Garfinkel received his undergraduate degree from Cornell in Mathematics and Philosophy,and a PhD from Harvard in Philosophy and Mathematics. After some years of practicing philosophy of science, Garfinkel transitioned to medical. N° de réf. du vendeur 150268190
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Modeling Life: The Mathematics of Biological Systems
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 445 pages. 9.75x7.00x1.00 inches. In Stock. N° de réf. du vendeur __3319597302
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Modeling Life : The Mathematics of Biological Systems
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler's method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science. N° de réf. du vendeur 9783319597300
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