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Résolution numérique des équations aux dérivées partielles avec NDSolve - Partie 1

Ce cours présente la fonctionnalité intégrée de Wolfram Language pour résoudre les équations aux dérivées partielles (EDP). Les sujets abordés comprennent la méthode numérique des lignes, les conditions aux limites, la méthode des éléments finis (MEF) ainsi que l'utilisation et la construction de mailles. Dans cette premiere partie, vous apprendrez la méthode des lignes ; comment définir la variable temporelle ; différentes façons de traiter les conditions aux limites ; les conditions aux limites incompatibles ; et l'utilisation de la fonction "TensorProductGrid" pour la discrétisation spatiale des EDPs.

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701 videos match your search.
Mads (Mohammad) Bahrami
Mads (Mohammad) Bahrami
In this video, we review concepts of quantum basis and quantum state (in a finite-dimensional Hilbert space) and how to implement them in the Wolfram Quantum Framework. We also discuss the basis transformation. For more info and examples, please visit ...
Mads (Mohammad) Bahrami
In this video, we review the quantum measurement operator and quantum measurement in the Wolfram Quantum Framework. We discuss the implementation of both projective measurements and also POVMs. For more ...
Mads (Mohammad) Bahrami
In this video, we show how one can construct a quantum circuit using the Wolfram Quantum Framework. We discuss the implementation of some examples such as quantum teleportation. For more ...
Mads (Mohammad) Bahrami
In this video, we review our multi-part discussion of the Wolfram Quantum Framework and discuss how it works, how to define relevant objects (such as a quantum circuit) and how ...
This session features a fast-paced overview by Jon McLoone showing new functionality and many examples from the new version.
This session provides an overview of the new mathematics features in 12.3, with in-depth presentations on symbolic optimization and solving PDEs with the Wolfram Language.
This session covers new functionality in video, image and audio computation plus a presentation on new automated machine learning capabilities.
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