Recent Trends in Computational Engineering - CE2014: Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems: Lecture Notes in Computational Science and Engineering, cartea 105
Editat de Miriam Mehl, Manfred Bischoff, Michael Schäferen Limba Engleză Hardback – 22 oct 2015
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Specificații
ISBN-13: 9783319229966
ISBN-10: 3319229966
Pagini: 300
Ilustrații: X, 326 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.65 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computational Science and Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3319229966
Pagini: 300
Ilustrații: X, 326 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.65 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computational Science and Engineering
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Preface.- Part I: Parallel Algorithms und Performance Optimization.- Part II: Coupled Systems.- Part III: Complex Systems and Optimization.
Textul de pe ultima copertă
This book presents selected papers from the 3rd International Workshop on Computational Engineering held in Stuttgart from October 6 to 10, 2014, bringing together innovative contributions from related fields with computer science and mathematics as an important technical basis among others. The workshop discussed the state of the art and the further evolution of numerical techniques for simulation in engineering and science. We focus on current trends in numerical simulation in science and engineering, new requirements arising from rapidly increasing parallelism in computer architectures, and novel mathematical approaches. Accordingly, the chapters of the book particularly focus on parallel algorithms and performance optimization, coupled systems, and complex applications and optimization.
Caracteristici
Mixture of contributions from engineers, mathematicians, and computer scientists gives a truly interdisciplinary view of the state-of-the-art in computational engineering Variety of applications presented allows to detect common methodological challenges New and recently evolving fields such as uncertainty quantification are addressed in an application-oriented manner Includes supplementary material: sn.pub/extras