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Bayesian Inverse Problems: Fundamentals and Engineering Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032112174 ISBN 13: 9781032112176
Language: English
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Bayesian Inverse Problems : Fundamentals and Engineering Applications
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Bayesian Inverse Problems: Fundamentals and Engineering Applications
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Bayesian Inverse Problems : Fundamentals and Engineering Applications
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Bayesian Inverse Problems Fundamentals and Engineering Applications
Published by Taylor & Francis Group, 2024
ISBN 10: 1032112174 ISBN 13: 9781032112176
Language: English
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Bayesian Inverse Problems: Fundamentals and Engineering Applications
Published by Taylor & Francis Group, 2021
ISBN 10: 1138035858 ISBN 13: 9781138035850
Language: English
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Bayesian Inverse Problems: Fundamentals and Engineering Applications
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Bayesian Inverse Problems: Fundamentals and Engineering Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032112174 ISBN 13: 9781032112176
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them.
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Bayesian Inverse Problems: Fundamentals and Engineering Applications
Published by Taylor & Francis Group, 2021
ISBN 10: 1138035858 ISBN 13: 9781138035850
Language: English
Condition: New. Print on Demand.
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Bayesian Inverse Problems: Fundamentals and Engineering Applications
Published by Taylor & Francis Group, 2021
ISBN 10: 1138035858 ISBN 13: 9781138035850
Language: English
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£ 260.04
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them.
