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Description du livre Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the general topic 'Numerical solution of partial differential equations (PDEs)' with a focus on adaptivity of discretizations in space and time. By and large, introductory textbooks like 'Numerical Analysis in Modern Scientific Computing' by Deuflhard and Hohmann should suffice as a prerequisite. The emphasis lies on elliptic and parabolic systems. Hyperbolic conservation laws are treated only on an elementary level excluding turbulence. Numerical Analysis is clearly understood as part of Scientific Computing. The focus is on the efficiency of algorithms, i.e. speed, reliability, and robustness, which directly leads to the concept of adaptivity in algorithms. The theoretical derivation and analysis is kept as elementary as possible. Nevertheless required somewhat more sophisticated mathematical theory is summarized in comprehensive form in an appendix. Complex relations are explained by numerous figures and illustrating examples. Non-trivial problems from regenerative energy, nanotechnology, surgery, and physiology are inserted. The text will appeal to graduate students and researchers on the job in mathematics, science, and technology. Conceptually, it has been written as a textbook including exercises and a software list, but at the same time it should be well-suited for self-study. 436 pp. Englisch. N° de réf. du vendeur 9783110283105
Description du livre Etat : New. N° de réf. du vendeur V9783110283105
Description du livre Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with the general topic 'Numerical solution of partial differential equations (PDEs)' with a focus on adaptivity of discretizations in space and time. By and large, introductory textbooks like 'Numerical Analysis in Modern Scientific Computing' by Deuflhard and Hohmann should suffice as a prerequisite. The emphasis lies on elliptic and parabolic systems. Hyperbolic conservation laws are treated only on an elementary level excluding turbulence. Numerical Analysis is clearly understood as part of Scientific Computing. The focus is on the efficiency of algorithms, i.e. speed, reliability, and robustness, which directly leads to the concept of adaptivity in algorithms. The theoretical derivation and analysis is kept as elementary as possible. Nevertheless required somewhat more sophisticated mathematical theory is summarized in comprehensive form in an appendix. Complex relations are explained by numerous figures and illustrating examples. Non-trivial problems from regenerative energy, nanotechnology, surgery, and physiology are inserted. The text will appeal to graduate students and researchers on the job in mathematics, science, and technology. Conceptually, it has been written as a textbook including exercises and a software list, but at the same time it should be well-suited for self-study. N° de réf. du vendeur 9783110283105
Description du livre Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peter Deuflhard and. N° de réf. du vendeur 4456709
Description du livre Etat : New. N° de réf. du vendeur V9783110283105
Description du livre Paperback. Etat : Brand New. 1st edition. 421 pages. 9.25x6.50x1.00 inches. This item is printed on demand. N° de réf. du vendeur zk3110283107