Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Ajouter au panierPaperback. Etat : new. Paperback. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Such cones can be used to describe the set of steady-state admissible fluxes through metabolic networks, and consequently have become important constructs in the field of microbiology.Via convex cone concepts, fundamental objects called elementary flux modes (EFMs) can be described mathematically. The fundamental algorithm of this relationship is the double description method, which has an extended history in the field of computational geometry. This monograph addresses its relatively recent use in the context of cellular metabolism. Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones:Addresses important topics in the mathematical description of metabolic activity that have not previously appeared in unified form.Introduces a central topic of mathematical systems biology in a manner accessible to nonmathematicians with some mathematical and computational experience. Presents a careful study of the double description method, a fundamental algorithm of computational geometry, in the context of metabolic analysis.The core audience for this book includes mathematicians, engineers, and biologists interested in cell metabolism. Computational geometers will also find it of interest. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Ajouter au panierPaperback. Etat : New. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Such cones can be used to describe the set of steady-state admissible fluxes through metabolic networks, and consequently have become important constructs in the field of microbiology.Via convex cone concepts, fundamental objects called elementary flux modes (EFMs) can be described mathematically. The fundamental algorithm of this relationship is the double description method, which has an extended history in the field of computational geometry. This monograph addresses its relatively recent use in the context of cellular metabolism. Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones:Addresses important topics in the mathematical description of metabolic activity that have not previously appeared in unified form.Introduces a central topic of mathematical systems biology in a manner accessible to nonmathematicians with some mathematical and computational experience. Presents a careful study of the double description method, a fundamental algorithm of computational geometry, in the context of metabolic analysis.The core audience for this book includes mathematicians, engineers, and biologists interested in cell metabolism. Computational geometers will also find it of interest.
Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par MP-SIA SIAM - Society for Industrial and Applied M, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Langue: anglais
Edité par University Of Iowa Press, 2021
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Edité par University Of Iowa Press, 2021
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Langue: anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Ajouter au panierPaperback. Etat : New. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Such cones can be used to describe the set of steady-state admissible fluxes through metabolic networks, and consequently have become important constructs in the field of microbiology.Via convex cone concepts, fundamental objects called elementary flux modes (EFMs) can be described mathematically. The fundamental algorithm of this relationship is the double description method, which has an extended history in the field of computational geometry. This monograph addresses its relatively recent use in the context of cellular metabolism. Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones:Addresses important topics in the mathematical description of metabolic activity that have not previously appeared in unified form.Introduces a central topic of mathematical systems biology in a manner accessible to nonmathematicians with some mathematical and computational experience. Presents a careful study of the double description method, a fundamental algorithm of computational geometry, in the context of metabolic analysis.The core audience for this book includes mathematicians, engineers, and biologists interested in cell metabolism. Computational geometers will also find it of interest.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2021
ISBN 10 : 1611976529 ISBN 13 : 9781611976526
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Ajouter au panierPaperback. Etat : new. Paperback. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Such cones can be used to describe the set of steady-state admissible fluxes through metabolic networks, and consequently have become important constructs in the field of microbiology.Via convex cone concepts, fundamental objects called elementary flux modes (EFMs) can be described mathematically. The fundamental algorithm of this relationship is the double description method, which has an extended history in the field of computational geometry. This monograph addresses its relatively recent use in the context of cellular metabolism. Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones:Addresses important topics in the mathematical description of metabolic activity that have not previously appeared in unified form.Introduces a central topic of mathematical systems biology in a manner accessible to nonmathematicians with some mathematical and computational experience. Presents a careful study of the double description method, a fundamental algorithm of computational geometry, in the context of metabolic analysis.The core audience for this book includes mathematicians, engineers, and biologists interested in cell metabolism. Computational geometers will also find it of interest. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.