Cover of: Geometric modelling, numerical simulation, and optimization |

Geometric modelling, numerical simulation, and optimization

applied mathematics at SINTEF
  • 558 Pages
  • 3.23 MB
  • 455 Downloads
  • English

Springer, SINTEF , Berlin, New York, [Oslo]
Numerical analysis, Geometrical models, Programming (Mathematics), Mathematical optimiz
StatementGeir Hasle, Knut-Andreas Lie, Ewald Quak, editors.
ContributionsHasle, Geir, 1953-, Lie, Knut A., Quak, Ewald., Selskapet for industriell og teknisk forskning ved Norges tekniske høgskole.
Classifications
LC ClassificationsQA297 .G46 2007
The Physical Object
Paginationxi, 558 p. :
ID Numbers
Open LibraryOL22852708M
ISBN 139783540687825
LC Control Number2007927185

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[Geir Hasle; Knut-Andreas Lie; Ewald Quak; Selskapet for industriell og teknisk Geometric modelling ved Norges tekniske høgskole.;]. Geometric modelling, numerical simulation, and optimization: Applied mathematics at SINTEF Book · December with Reads How we measure and optimization book.

() An Introduction to the Numerics of Flow in Porous Media using Matlab. In: Hasle G., Lie KA., Quak E. (eds) Geometric Modelling, Numerical Simulation, and Optimization. Springer, Berlin, HeidelbergCited by: Geometric Modelling, Numerical Simulation, and Optimization: Applied Mathematics at SINTEF Home Ebooks Geometric Modelling, Numerical Simulation, and Optimization: Applied Mathematics at SINTEF Files available.

Get this from a library. Geometric modelling, numerical simulation, and optimization: applied mathematics at SINTEF. [Geir Hasle; Knut-Andreas Lie; Ewald Quak; Selskapet for industriell og teknisk forskning ved Norges tekniske høgskole.;] -- This edited volume addresses the importance of mathematics for industry and society by presenting highlights from contract research at the.

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The first volume of a series of books, entitled "Meshing, Geometric Modeling and Numerical Simulation 1: Form Functions, Triangulations and Geometric Modeling", co-authored by Paul Louis George and Houman Borouchaki of the GAMMA3.

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Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element (with regard to some criterion) from some set of available alternatives.

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Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of.

Geometric modeling, isogeometric analysis and the finite cell method. using the same basis functions for design and analysis constitutes a milestone in the unification of geometric modeling and numerical simulation.

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Schey's 80th Birthday. As the computational power increased, more advanced and detailed models were developed, including different chemical and physical phenomena. But alongside this process, there was an active research in the area of reservoir simulation, improving the accuracy and efficiency of the numerical schemes used for the flow, transport, and energy equations.

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