Presents numerical methods and computer code in Matlab for the solution of ODEs and PDEs with detailed line-by-line discussion.
"Sinopsis" puede pertenecer a otra edición de este libro.
William E. Schiesser is the Emeritus R. L. McCann Professor of Chemical Engineering and a Professor of Mathematics at Lehigh University. He is also a visiting professor at the University of Pennsylvania and the co-author of the Cambridge book Computational Transport Phenomena.
Graham W. Griffiths is a visiting professor in the School of Engineering and Mathematical Sciences of City University, London, having previously been a senior visiting Fellow. He is also a founder of Special Analysis and Simulation Technology Ltd and has worked extensively in, and researched into, the field of dynamic simulation of chemical processes.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 3,65 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoGRATIS gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoLibrería: BookHolders, Towson, MD, Estados Unidos de America
Condición: 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. Nº de ref. del artículo: 6850988
Cantidad disponible: 1 disponibles
Librería: Basi6 International, Irving, TX, Estados Unidos de America
Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Nº de ref. del artículo: ABEOCT25-99149
Cantidad disponible: 1 disponibles
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-137649
Cantidad disponible: 1 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. xiii 474 2 of lates Illus. Nº de ref. del artículo: 7369179
Cantidad disponible: 1 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FM-9780521519861
Cantidad disponible: 1 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: 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. Nº de ref. del artículo: 9780521519861
Cantidad disponible: 1 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FM-9780521519861
Cantidad disponible: 1 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 1st edition. 474 pages. 10.00x7.25x1.25 inches. In Stock. Nº de ref. del artículo: __0521519861
Cantidad disponible: 1 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Hardcover. Condición: 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. Nº de ref. del artículo: 9780521519861
Cantidad disponible: 1 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Hardback. Condición: New. New copy - Usually dispatched within 4 working days. 1042. Nº de ref. del artículo: B9780521519861
Cantidad disponible: Más de 20 disponibles