Advances in Visualization and Optimization Techniques for Multidisciplinary Research: Trends in Modelling and Simulations for Engineering Applications: Lecture Notes in Mechanical Engineering
Editat de Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhananen Limba Engleză Hardback – 28 sep 2019
In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.
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Paperback (1) | 565.94 lei 39-44 zile | |
Springer Nature Singapore – 28 sep 2020 | 565.94 lei 39-44 zile | |
Hardback (1) | 586.97 lei 39-44 zile | |
Springer Nature Singapore – 28 sep 2019 | 586.97 lei 39-44 zile |
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Specificații
ISBN-13: 9789811398056
ISBN-10: 9811398054
Pagini: 423
Ilustrații: XIV, 356 p. 226 illus., 165 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Mechanical Engineering
Locul publicării:Singapore, Singapore
ISBN-10: 9811398054
Pagini: 423
Ilustrații: XIV, 356 p. 226 illus., 165 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Mechanical Engineering
Locul publicării:Singapore, Singapore
Cuprins
Textul de pe ultima copertă
This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis.
In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.
In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.
Caracteristici
Presents several multidisciplinary approaches to the visual representation of data acquired from experiments Includes data examination generated by mathematical-physical modeling Presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016