Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
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Aggiungi al carrelloCondizione: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: Cambridge University Press Pub Date: 3/16/2009 Binding: Hardcover Pages: 490 First edition.
Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
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Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
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Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
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Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
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Aggiungi al carrelloCondizione: New. xiii 474 2 of lates Illus.
Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
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Editore: Cambridge University Press, Cambridge, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Mathematical modelling of physical and chemical systems is used extensively throughout science, engineering, and applied mathematics. To use mathematical models, one needs solutions to the model equations; this generally requires numerical methods. This book presents numerical methods and associated computer code in Matlab for the solution of a spectrum of models expressed as partial differential equations (PDEs). The authors focus on the method of lines (MOL), a well-established procedure for all major classes of PDEs, where the boundary value partial derivatives are approximated algebraically by finite differences. This reduces the PDEs to ordinary differential equations (ODEs) and makes the computer code easy to understand, implement, and modify. Also, the ODEs (via MOL) can be combined with any other ODEs that are part of the model (so that MOL naturally accommodates ODE/PDE models). This book uniquely includes a detailed line-by-line discussion of computer code related to the associated PDE model. Explains numerical methods, and associated computer codes in Matlab, for the solution of a spectrum of models expressed as ordinary and partial differential equations. The authors focus on the well-established method of lines, making the code easy to understand, implement, and modify. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
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Editore: Cambridge University Press, Cambridge, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Mathematical modelling of physical and chemical systems is used extensively throughout science, engineering, and applied mathematics. To use mathematical models, one needs solutions to the model equations; this generally requires numerical methods. This book presents numerical methods and associated computer code in Matlab for the solution of a spectrum of models expressed as partial differential equations (PDEs). The authors focus on the method of lines (MOL), a well-established procedure for all major classes of PDEs, where the boundary value partial derivatives are approximated algebraically by finite differences. This reduces the PDEs to ordinary differential equations (ODEs) and makes the computer code easy to understand, implement, and modify. Also, the ODEs (via MOL) can be combined with any other ODEs that are part of the model (so that MOL naturally accommodates ODE/PDE models). This book uniquely includes a detailed line-by-line discussion of computer code related to the associated PDE model. Explains numerical methods, and associated computer codes in Matlab, for the solution of a spectrum of models expressed as ordinary and partial differential equations. The authors focus on the well-established method of lines, making the code easy to understand, implement, and modify. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 162,80
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 1042.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 474 pages. 10.00x7.25x1.25 inches. In Stock.
Editore: Cambridge University Press, Cambridge, 2009
ISBN 10: 0521519861 ISBN 13: 9780521519861
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 225,43
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Mathematical modelling of physical and chemical systems is used extensively throughout science, engineering, and applied mathematics. To use mathematical models, one needs solutions to the model equations; this generally requires numerical methods. This book presents numerical methods and associated computer code in Matlab for the solution of a spectrum of models expressed as partial differential equations (PDEs). The authors focus on the method of lines (MOL), a well-established procedure for all major classes of PDEs, where the boundary value partial derivatives are approximated algebraically by finite differences. This reduces the PDEs to ordinary differential equations (ODEs) and makes the computer code easy to understand, implement, and modify. Also, the ODEs (via MOL) can be combined with any other ODEs that are part of the model (so that MOL naturally accommodates ODE/PDE models). This book uniquely includes a detailed line-by-line discussion of computer code related to the associated PDE model. Explains numerical methods, and associated computer codes in Matlab, for the solution of a spectrum of models expressed as ordinary and partial differential equations. The authors focus on the well-established method of lines, making the code easy to understand, implement, and modify. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.