Utvidet returrett til 31. januar 2024

Bøker av Hans Petter Langtangen

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  • av Hans Petter Langtangen & Kent-Andre Mardal
    637,-

    This textbook teaches finite element methods from a computational point of view. It focuses on how to develop flexible computer programs with Python, a programming language in which a combination of symbolic and numerical tools is used to achieve an explicit and practical derivation of finite element algorithms.

  • av Hans Petter Langtangen & Svein Linge
    695 - 714,-

  • - A Gentle Introduction to Numerical Simulations with MATLAB/Octave
    av Hans Petter Langtangen
    773,-

    This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.

  • - A Gentle Introduction to Numerical Simulations with Python
    av Hans Petter Langtangen
    732,-

    This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.

  • - A Modern Software Approach
    av Hans Petter Langtangen & Svein Linge
    705 - 732,-

    This book is open access under a CC BY 4.0 license. This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods.

  • av Hans Petter Langtangen
    732 - 773,-

    This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization.

  • - The FEniCS Tutorial I
    av Hans Petter Langtangen & Anders Logg
    732,-

  • av Aslak Tveito, Hans Petter Langtangen, Bjorn Frederik Nielsen & m.fl.
    732,-

    The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics, astrophysics, chemistry, biology, and most engineering disciplines. It is our goal to teach principles and ideas that carry over from field to field.

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