Designed primarily for undergraduates, but also graduates and practitioners, this textbook integrates numerical methods and programming with applications from chemical engineering. Combining mathematical rigor with an informal writing style, it thoroughly introduces the theory underlying numerical methods, its translation into MATLAB programs, and its use for solving realistic problems. Specific topics covered include accuracy, convergence and numerical stability, as well as stiffness and ill-conditioning. MATLAB codes are developed from scratch, and their implementation is explained in detail, all while assuming limited programming knowledge. All scripts employed are downloadable, and built-in MATLAB functions are discussed and contextualised. Numerous examples and homework problems - from simple questions to extended case studies - accompany the text, allowing students to develop a deep appreciation for the range of real chemical engineering problems that can be solved using numerical methods. This is the ideal resource for a single-semester course on numerical methods, as well as other chemical engineering courses taught over multiple semesters.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Kevin D. Dorfman is Professor of Chemical Engineering and Materials Science at the University of Minnesota. He is a recipient of the Colburn Award of the American Institute of Chemical Engineers, the Defense Advanced Research Projects Agency Young Investigator Award, a Packard Fellowship, the National Science Foundation CAREER Award, and both the Dreyfus New Faculty and Teacher-Scholar Awards. He has co-authored over 100 papers.
Prodromos Daoutidis is Professor and Executive Officer in the Department of Chemical Engineering and Materials Science at the University of Minnesota. He a the recipient of the National Science Foundation CAREER Award, the Process Systems Enterprise Model Based Innovation Prize, the Ted Peterson Award of the American Institute of Chemical Engineers, the McKnight Land Grant Professorship, the Ray D. Johnson/Mayon Plastics Professorship, and the Shell Chair. He has been a Humphrey Institute Policy Fellow, and has co-authored two research monographs and over 220 papers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardback. Etat : New. Designed primarily for undergraduates, but also graduates and practitioners, this textbook integrates numerical methods and programming with applications from chemical engineering. Combining mathematical rigor with an informal writing style, it thoroughly introduces the theory underlying numerical methods, its translation into MATLAB programs, and its use for solving realistic problems. Specific topics covered include accuracy, convergence and numerical stability, as well as stiffness and ill-conditioning. MATLAB codes are developed from scratch, and their implementation is explained in detail, all while assuming limited programming knowledge. All scripts employed are downloadable, and built-in MATLAB functions are discussed and contextualised. Numerous examples and homework problems - from simple questions to extended case studies - accompany the text, allowing students to develop a deep appreciation for the range of real chemical engineering problems that can be solved using numerical methods. This is the ideal resource for a single-semester course on numerical methods, as well as other chemical engineering courses taught over multiple semesters. N° de réf. du vendeur LU-9781107135116
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