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Image of - Computational Mathematics An Introduction To Numerical Analysis And Scientific Computing With Python | Hardcover
Computational Mathematics An Introduction To Numerical Analysis And Scientific Computing With Python | Hardcover

Computational Mathematics An Introduction To Numerical Analysis And Scientific Computing With Python | Hardcover

by Mitsotakis D.

This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject, as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics, engineering, and computer science.Features:No previous experience in Python is required.Includes simplified computer code for fast-paced learning and transferable skills development.Includes practical problems ideal for project assignments and distance learning.Presents both intuitive and rigorous faces of modern scientific computing.Provides an introduction to neural networks and machine learning.

Highlights

  • binding-icon

    9781032262390

    ISBN:

  • binding-icon

    Mitsotakis D.

    Author:

  • binding-icon

    508

    Pages:

  • binding-icon

    215 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2023

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

₹10350

₹12937

This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject, as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics, engineering, and computer science.Features:No previous experience in Python is required.Includes simplified computer code for fast-paced learning and transferable skills development.Includes practical problems ideal for project assignments and distance learning.Presents both intuitive and rigorous faces of modern scientific computing.Provides an introduction to neural networks and machine learning.

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