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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 209.
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EUR 125,80
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 143,18
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : New. Dimitrios Mitsotakis received a PhD in Mathematics in 2007 from the University of Athens. His experience with high performance computing started while at the Edinburgh Parallel Computing Center at The University of Edinburgh. Dimitrios worked at the Univ.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 199,34
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Ajouter au panierHardcover. Etat : Brand New. 532 pages. 9.19x6.13x1.26 inches. In Stock.
Edité par Taylor & Francis Ltd, London, 2023
ISBN 10 : 1032262397 ISBN 13 : 9781032262390
Langue: anglais
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
EUR 158,01
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Ajouter au panierHardcover. Etat : new. Hardcover. 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. 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, and advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Taylor & Francis Ltd, London, 2023
ISBN 10 : 1032262397 ISBN 13 : 9781032262390
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 235,01
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Ajouter au panierHardcover. Etat : new. Hardcover. 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. 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, and advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 136,50
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 508 pp. Englisch.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 151,67
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Ajouter au panierBuch. Etat : 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.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 161,94
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 168,47
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 157,30
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Ajouter au panierHardcover. Etat : Brand New. 532 pages. 9.19x6.13x1.26 inches. In Stock. This item is printed on demand.