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Sökning: WFRF:(Claus Führer)

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21.
  • Führer, Claus, et al. (författare)
  • Computing with Python
  • 2013
  • Bok (övrigt vetenskapligt/konstnärligt)abstract
    • Description: Python® is a free open-source language and environment that has great potential in scientific computing. Computing with Python presents the programming language in close connection wit mathematical applications. The approach of the book is concept based rather than a systematic introduction to the language. It is written for a mathematical readership and is aimed at students with a mathematical background. Computing with Python can be used as a course book for absolute beginners on Python with guidance and support from a teacher. It is also suitable as a self study book for more advanced students with some programming knowledge and an interest in mathematical or scientific disciplines. The book integrates programming with mathematics and gives a systematic treatment of Python’s capabilities with application to scientific computing.
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23.
  • Führer, Claus, et al. (författare)
  • Integration av numeriska metoder i kemiteknikutbildningen
  • 2005
  • Ingår i: [Host publication title missing].
  • Konferensbidrag (refereegranskat)abstract
    • Kemiteknikprogrammet fick en ny utbildningsplan 2001. Enligt den gamla utbildningsplanen fanns det en valfri kurs i numerisk analys under årskurs 4 med ett fåtal studenter. I den nya utbildningsplanen integrerades numeriska metoder med kemiteknik redan under första terminen. Metoder undervisas där problemställningen finns. Vi har valt att kalla undervisningen i numeriska metoder för beräkningsteknik. Den beräkningsmässiga delen av kursen i kemiteknik tillsammans med beräkningsteknik omfattar ca 6 poäng av en 12 poängs kurs. I kemiteknik tränas teknologerna att ställa upp modeller för kemitekniska system. För att lösa dessa krävs i flera fall hjälp av numeriska metoder. I kemiteknik används huvudsakligen färdiga funktioner för att lösa modellerna. Beräkningsteknik lär ut principen bakom de använda metoderna. Vi diskuterar de fördelar vi ser i integrerade och ämnesövergripande upplägg av kursen samt våra erfarenheter av undervisningen efter kursen har gått i fyra år. Vi avslutar med att diskutera hur denna ändring har påverkat programmet i sin helhet.
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24.
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25.
  • Führer, Claus, et al. (författare)
  • Scientific computing with Python 3
  • 2016
  • Bok (refereegranskat)abstract
    • Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
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26.
  • Ghandriz, Toheed, et al. (författare)
  • Structural Optimization of Multibody Systems
  • 2015
  • Ingår i: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015. - 9788494424403 ; , s. 828-838
  • Konferensbidrag (refereegranskat)abstract
    • Flexible multibody dynamics (FMD) has found many applications in control, analysis and design of mechanical systems. FMD together with the theory of structural optimization can be used for designing multibody systems with bodies which are lighter, but stronger. Topology optimization of static structures is an active research topic in structural mechanics. However, the extension to the dynamic case is less investigated as one has to face serious numerical difficulties. One way of extending static structural topology optimization to topology optimization of dynamic flexible multibody system with large rotational and transitional motion is investigated in this paper. The optimization can be performed simultaneously on all flexible bodies. The simulation part of optimization is based on an FEM approach together with modal reduction. The resulting nonlinear differential-algebraic systems are solved with the error controlled integrator IDA (Sundials) wrapped into Python environment by Assimulo. A modified formulation of solid isometric material with penalization (SIMP) method is suggested to avoid numerical instabilities and convergence failures of the optimizer. Sensitivity analysis is central in structural optimization. The sensitivities are approximated to circumvent the expensive calculations. The provided examples show that the method is indeed suitable for optimizing a wide range of multibody systems. Standard SIMP method in structural topology optimization suggests stiffness penalization. To overcome the problem of instabilities and mesh distortion in the dynamic case we consider here additionally element mass penalization.
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27.
  • Ghandriz, Toheed, 1982, et al. (författare)
  • Structural topology optimization of multibody systems
  • 2016
  • Ingår i: Multibody System Dynamics. - : Springer Science and Business Media LLC. - 1384-5640 .- 1573-272X. ; 39:1, s. 135-148
  • Tidskriftsartikel (refereegranskat)abstract
    • Flexible multibody dynamics (FMD) has found many applications in control, analysis and design of mechanical systems. FMD together with the theory of structural optimization can be used for designing multibody systems with bodies which are lighter, but stronger. Topology optimization of static structures is an active research topic in structural mechanics. However, the extension to the dynamic case is less investigated as one has to face serious numerical difficulties. One way of extending static structural topology optimization to topology optimization of dynamic flexible multibody system with large rotational and transitional motion is investigated in this paper. The optimization can be performed simultaneously on all flexible bodies. The simulation part of optimization is based on an FEM approach together with modal reduction. The resulting nonlinear differential-algebraic systems are solved with the error controlled integrator IDA (Sundials) wrapped into Python environment by Assimulo (Andersson et al. in Math. Comput. Simul. 116(0):26–43, 2015). A modified formulation of solid isotropic material with penalization (SIMP) method is suggested to avoid numerical instabilities and convergence failures of the optimizer. Sensitivity analysis is central in structural optimization. The sensitivities are approximated to circumvent the expensive calculations. The provided examples show that the method is indeed suitable for optimizing a wide range of multibody systems. Standard SIMP method in structural topology optimization suggests stiffness penalization. To overcome the problem of instabilities and mesh distortion in the dynamic case we consider here additionally element mass penalization.
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29.
  • Maghdid, Dara, et al. (författare)
  • A Study on Variation Technique in Courses on Scientific Computing
  • 2014
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The background of this study is a project aiming at assessing the quality of teaching and learning in scientific computing in different cultural settings. This, we hope will lead us to constructing standards, which can provide outcomes of comparable quality in scientific computing in different countries and societies. Specifically we want to gain insight which quality benchmarks are suitable for the project. The tool we use in teaching is a set of variation techniques. The presented pilot study aims at the examination of the role variation theory for the quality of elementary courses in scientific computing. Earlier studies by others confirmed that variation theory offers a comprehensive set of variables characterizing teaching, well described and easy to follow and measure and which can result in improving teaching. The main data for this investigation was collected via interviewing students.
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30.
  • Maghdid, Dara, et al. (författare)
  • A Study on Variation Technique in Courses on Scientific Computing
  • 2015
  • Ingår i: Science Journal of Education. - : Science Publishing Group. - 2329-0900. ; Vol. 3:June 2015, s. 60-67
  • Tidskriftsartikel (populärvet., debatt m.m.)abstract
    • The background of this study is a project aiming at assessing the quality of teaching and learning in scientific computing in different cultural settings. This, we hope will lead us to constructing standards, which can provide outcomes of comparable quality in scientific computing in different countries and societies. Specifically we want to gain insight which quality benchmarks are suitable for the project. The tool w e use in teaching is a set of variation techniques. The presented pilot study aims at the examination of the role variation theory for the quality of elementary courses in scientific computing. Earlier studies by others confirmed that variation theory offers a comprehensive set of variables characterizing teaching, well described and easy to follow and measure and which can result in improving teaching. The main data for this investigation was collected via interviewing students.
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