Domain Decomposition Methods in Science and Engineering XXV: Lecture Notes in Computational Science and Engineering, cartea 138
Editat de Ronald Haynes, Scott MacLachlan, Xiao-Chuan Cai, Laurence Halpern, Hyea Hyun Kim, Axel Klawonn, Olof Widlunden Limba Engleză Paperback – 26 oct 2021
Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.
The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.
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Paperback (1) | 955.88 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9783030567521
ISBN-10: 3030567524
Ilustrații: XXVI, 508 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.74 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computational Science and Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030567524
Ilustrații: XXVI, 508 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.74 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computational Science and Engineering
Locul publicării:Cham, Switzerland
Cuprins
Part I Plenary Talks (PT).- Part II Talks in Minisymposia (MT).- Part III Contributed Talks and Posters (CT).
Textul de pe ultima copertă
These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in St. John's, Newfoundland, Canada in July 2018.
Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.
The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.
Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.
The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.