By Thomas J. R. Hughes
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Extra resources for The finite element method Linear static and dynamic finite element analysis
307 Rossen Dimitrov, Anthony Skjellum Virtual and Dynamic Hierarchical Architecture for E-science Grid . . . 316 Lican Huang, Zhaohui Wu, Yunhe Pan Track on Models and Algorithms Algorithmic Entropy, Phase Transition, and Smart Systems . . . . . . V. Krishnamurthy Computations of Coupled Electronic States in Quantum Dot/Wetting Layer Cylindrical Structures . . . . . . . . . . . . . . . . . . . . N. Melnik, Kate N. Zotsenko XXXVIII Table of Contents, Part III Deadlock Free Speciﬁcation Based on Local Process Properties .
1069 Katia Leal, Jos´e Herrera, Jos´e M. Pe˜ na, Ernestina Menasalvas Applying Computational Science Techniques to Support Adaptive Learning . . . . . . . . . . . . . . . . . . . . 1079 ´ Juan M. Santos, Luis Anido, Mart´ın Llamas, Luis M. Alvarez, Fernando A. Mikic The Use of the Cooperative Solver SibCalc in Modeling of Complex Problems . . . . . . . . . . . . . . . . . . . . . . . . 1088 Tamara Kashevarova, Alexander Semenov Computational and Soft Skills Development through the Project Based Learning .
1149 Industrial Challenges for Numerical Simulation of Crystal Growth Dmitry K. Ofengeim1 and Alexander I. O. 83, 194156 St. Ioﬀe Physical Technical Institute, Russian Academy of Sciences, 194021 St. Petersburg, Russia Abstract. Numerical simulation of industrial crystal growth is diﬃcult due to its multidisciplinary nature and complex geometry of real-life growth equipment. An attempt is made to itemize physical phenomena dominant in diﬀerent methods for growth of bulk crystals from melt and from vapour phase and to review corresponding numerical approaches.