Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
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Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032262397 ISBN 13: 9781032262390
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 532 pages. 9.19x6.13x1.26 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 532 pages. 9.19x6.13x1.26 inches. In Stock. This item is printed on demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.