Michael Zhdanov (130 results)
- Hardcover
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- Hardcover
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- Hardcover
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Hardback or Cased Book. Condition: New. Geophysics for Mineral Exploration. Book.
- Hardcover
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Advanced Methods of Joint Inversion and Fusion of Multiphysics Data (Advances in Geological Science)
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Advanced Methods of Joint Inversion and Fusion of Multiphysics Data (Advances in Geological Science)
- Hardcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 392 pages. 9.53x6.69x0.89 inches. In Stock.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Integral Transforms of Geophysical Fields serve as one ofthe major tools for processing and interpreting geophysicaldata. In this book the authors present a unified treatmentof this theory, ranging from the techniques of the transfor-mation of 2-D…and 3-D potential fields to the theory of se-paration and migration of electromagnetic and seismicfields. Of interest primarily to scientists and post-gradu-ate students engaged in gravimetrics, but also useful togeophysicists and researchers in mathematical physics.
- Hardcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Condition: New. pp. 574, Maps.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Advanced Methods of Joint Inversion and Fusion of Multiphysics Data | Michael S. Zhdanov | Taschenbuch | Advances in Geological Science | xvi | Englisch | 2024 | Springer | EAN 9789819967247 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]ha…rtmann[at]springer[dot]com | Anbieter: preigu.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Integral Transforms in Geophysics | Michael S. Zhdanov | Taschenbuch | xxiii | Englisch | 2011 | Springer | EAN 9783642726309 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 52.75
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Different physical or geophysical methods provide information about distinctive physical properties of the objects, e.g., rock formations and mineralization. In many cases, this information is mutually complementary, which makes it natural for cons…ideration in a joint inversion of the multiphysics data. Inversion of the observed data for a particular experiment is subject to considerable uncertainty and ambiguity. One productive approach to reducing uncertainty is to invert several types of data jointly. Nonuniqueness can also be reduced by incorporating additional information derived from available a priori knowledge about the target to reduce the search space for the solution. This additional information can be incorporated in the form of a joint inversion of multiphysics data.Generally established joint inversion methods, however, are inadequate for incorporating typical physical or geological complexity. For example, analytic, empirical, or statistical correlations between different physical properties may exist for only part of the model, and their specific form may be unknown. Features or structures that are present in the data of one physical method may not be present in the data generated by another physical method or may not be equally resolvable.This book presents and illustrates several advanced, new approaches to joint inversion and data fusion, which do not require a priori knowledge of specific empirical or statistical relationships between the different model parameters or their attributes. These approaches include the following novel methods, among others: 1) the Gramian method, which enforces the correlation between different parameters; 2) joint total variation functional or joint focusing stabilizers, e.g., minimum support and minimum gradient support constraints; 3) data fusion employing a joint minimum entropy stabilizer, which yields the simplest multiphysics solution that fits the multi-modal data. In addition, the book describes the principles of using artificial intelligence (AI) in solving multiphysics inverse problems. The book also presents in detail both the mathematical principles of these advanced approaches to joint inversion of multiphysics data and successful case histories of regional-scale and deposit-scale geophysical studies to illustrate their indicated advantages.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Different physical or geophysical methods provide information about distinctive physical properties of the objects, e.g., rock formations and mineralization. In many cases, this information is mutually complementary, which makes it natural for considerati…on in a joint inversion of the multiphysics data. Inversion of the observed data for a particular experiment is subject to considerable uncertainty and ambiguity. One productive approach to reducing uncertainty is to invert several types of data jointly. Nonuniqueness can also be reduced by incorporating additional information derived from available a priori knowledge about the target to reduce the search space for the solution. This additional information can be incorporated in the form of a joint inversion of multiphysics data.Generally established joint inversion methods, however, are inadequate for incorporating typical physical or geological complexity. For example, analytic, empirical, or statistical correlations between different physical properties may exist for only part of the model, and their specific form may be unknown. Features or structures that are present in the data of one physical method may not be present in the data generated by another physical method or may not be equally resolvable.This book presents and illustrates several advanced, new approaches to joint inversion and data fusion, which do not require a priori knowledge of specific empirical or statistical relationships between the different model parameters or their attributes. These approaches include the following novel methods, among others: 1) the Gramian method, which enforces the correlation between different parameters; 2) joint total variation functional or joint focusing stabilizers, e.g., minimum support and minimum gradient support constraints; 3) data fusion employing a joint minimum entropy stabilizer, which yields the simplest multiphysics solution that fits the multi-modal data. In addition, the book describes the principles of using artificial intelligence (AI) in solving multiphysics inverse problems. The book also presents in detail both the mathematical principles of these advanced approaches to joint inversion of multiphysics data and successful case histories of regional-scale and deposit-scale geophysical studies to illustrate their indicated advantages.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 107.02
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Condition: New. pp. 574 Illus., Maps.
Active Geophysical Monitoring
Kasahara, Junzo (EDT); Zhdanov, Michael S. (EDT); Mikada, Hitoshi (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Hardcover
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: New. pp. 574.
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. pp. 572.
- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Condition: New. pp. 572.
Active Geophysical Monitoring
Mikada, Hitoshi (EDT); Zhdanov, Michael S. (EDT); Kasahara, Junzo (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Active Geophysical Monitoring
Kasahara, Junzo (EDT); Zhdanov, Michael S. (EDT); Mikada, Hitoshi (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: PBShop.store US, Wood Dale, U.S.A.PBShop.store US
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- Softcover
Seller: PBShop.store UK, Fairford, United KingdomPBShop.store UK
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- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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