Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 65,37
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 209.
EUR 64,71
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EUR 68,40
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 61,58
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EUR 68,66
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EUR 56,03
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,36
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EUR 77,25
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 70,93
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 80,34
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Da: Chiron Media, Wallingford, Regno Unito
EUR 67,89
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 77,61
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Da: Revaluation Books, Exeter, Regno Unito
EUR 94,79
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Aggiungi al carrelloPaperback. Condizione: Brand New. 536 pages. 10.00x7.01x1.26 inches. In Stock.
EUR 61,03
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EUR 174,16
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 181,31
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EUR 187,21
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EUR 208,99
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 195,61
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 262,16
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: Revaluation Books, Exeter, Regno Unito
EUR 320,89
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Aggiungi al carrelloHardcover. Condizione: Brand New. 514 pages. 10.25x7.25x1.50 inches. In Stock.
Editore: Taylor & Francis Inc, Bosa Roca, 2019
ISBN 10: 1498738206 ISBN 13: 9781498738200
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 291,33
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Taylor & Francis Inc, Bosa Roca, 2019
ISBN 10: 1498738206 ISBN 13: 9781498738200
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 422,24
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Continental Academy Press, London
Da: Continental Academy Press, London, SELEC, Regno Unito
EUR 11,79
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Aggiungi al carrelloSoftcover. Condizione: New. Condizione sovraccoperta: no dj. First. Statistical physics and materials science are two fields that have long been intertwined, with a deep understanding of the underlying statistical mechanics essential for predicting the behavior of complex systems. This book provides a comprehensive introduction to computational methods for statistical physics and materials science, covering a wide range of topics from classical thermodynamics to quantum many-body systems. By leveraging computational power, researchers can explore the intricate dynamics of complex systems and gain new insights into the behavior of materials at the atomic and molecular level. From Monte Carlo simulations to density functional theory, this book covers a wide range of computational techniques, making it an essential resource for anyone working in statistical physics and materials science. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Editore: Continental Academy Press, London
Da: Continental Academy Press, London, SELEC, Regno Unito
EUR 14,11
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Aggiungi al carrelloSoftcover. Condizione: New. Condizione sovraccoperta: no dj. First. A Beginner's Guide to Advanced Numerical Methods in Statistical Mechanics and Materials Science offers a clear and concise introduction to the principles and practices of advanced numerical methods in statistical mechanics and materials science. By presenting a range of advanced numerical techniques, including molecular dynamics and Monte Carlo simulations, this book provides a comprehensive framework for analyzing and predicting the behavior of materials under various conditions. The author explores the key concepts and methods that underpin advanced numerical methods, including the use of computational tools and experimental data. Through a series of examples and case studies, this book demonstrates the practical applications of advanced numerical methods in statistical mechanics and materials science. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Da: moluna, Greven, Germania
EUR 56,83
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De GraefData analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 59,60
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection. 538 pp. Englisch.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 72,10
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 79,60
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 71,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.