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Computational Framework for the Finite Element Method in MATLAB® and Python

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Hardback
11 August 2022
$378.22
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Computational Framework for the Finite Element Method in MATLAB® and Python aims to provide a programming framework for coding linear FEM using matrix-based MATLAB® language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible.
Readers can follow the step-by-step process of developing algorithms with clear explanations of its underlying mathematics and how to put it into MATLAB and Python code. The content is focused on aspects of numerical methods and coding FEM rather than FEM mathematical analysis. However, basic mathematical formulations for numerical techniques which are needed to implement FEM are provided. Particular attention is paid to an efficient programming style using sparse matrices.

Features

  • Contains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEM
  • Suitable for upper-level undergraduates and graduates in applied mathematics, science or engineering
  • Both MATLAB and Python programming codes are provided to give readers more flexibility in the practical framework implementation

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    Product Details
    ISBN-13
    9781032209258
    Author
    Pavel Sumets
    Publisher
    Taylor & Francis Ltd
    Published
    11 August 2022
    Format
    Hardback

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    $378.22
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Computational Framework for the Finite Element Method in MATLAB® and Python

    $378.22

    Description

    Computational Framework for the Finite Element Method in MATLAB® and Python aims to provide a programming framework for coding linear FEM using matrix-based MATLAB® language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible.
    Readers can follow the step-by-step process of developing algorithms with clear explanations of its underlying mathematics and how to put it into MATLAB and Python code. The content is focused on aspects of numerical methods and coding FEM rather than FEM mathematical analysis. However, basic mathematical formulations for numerical techniques which are needed to implement FEM are provided. Particular attention is paid to an efficient programming style using sparse matrices.

    Features

    • Contains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEM
    • Suitable for upper-level undergraduates and graduates in applied mathematics, science or engineering
    • Both MATLAB and Python programming codes are provided to give readers more flexibility in the practical framework implementation

    You Can Find This Title In

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