Computational Methods in Geoscience, W.E. Fitzgibbon, Mary Fanett Wheeler
Автор: Fletcher, Steven James Название: Data Assimilation for the Geosciences ISBN: 0128044446 ISBN-13(EAN): 9780128044445 Издательство: Elsevier Science Рейтинг: Цена: 123360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge needed to formulate data assimilation systems in one place. It includes practical exercises for understanding theoretical formulation and presents some aspects of coding the theory with a toy problem. The book also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to the atmosphere, oceans, as well as the land surface and other geophysical situations. It offers a comprehensive presentation of the subject, from basic principles to advanced methods, such as Particle Filters and Markov-Chain Monte-Carlo methods. Additionally, Data Assimilation for the Geosciences: From Theory to Application covers the applications of data assimilation techniques in various disciplines of the geosciences, making the book useful to students, teachers, and research scientists.
Автор: Clint Dawson; Margot Gerritsen Название: Computational Challenges in the Geosciences ISBN: 1493945769 ISBN-13(EAN): 9781493945764 Издательство: Springer Рейтинг: Цена: 46590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis.
Автор: William Haneberg Название: Computational Geosciences with Mathematica ISBN: 3642621570 ISBN-13(EAN): 9783642621574 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The reference and text leads readers step-by-step through geologic applications such as custom graphics programming, data input and output, linear and differential equations, linear and nonlinear regression, Monte Carlo simulation, time series and image analysis, and the visualization and analysis of geologic surfaces.
Автор: Willi Freeden; Michael Schreiner Название: Spherical Functions of Mathematical Geosciences ISBN: 3540851119 ISBN-13(EAN): 9783540851110 Издательство: Springer Рейтинг: Цена: 243800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Collects the material developed by the Geomathematics Group, TU Kaiserslautern, to set up a theory of spherical functions of mathematical (geo-)physics. This work provides the palette of spherical (trial) functions for modeling and simulating phenomena and processes of the Earth system.
Автор: Zuheir Altamimi; Xavier Collilieux Название: Reference Frames for Applications in Geosciences ISBN: 364244816X ISBN-13(EAN): 9783642448164 Издательство: Springer Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reference systems and frames are of primary importance for many Earth science applications, satellite navigation as well as for practical applications in geo-information.
Автор: Anastasios A. Tsonis; James B. Elsner Название: Nonlinear Dynamics in Geosciences ISBN: 148999517X ISBN-13(EAN): 9781489995179 Издательство: Springer Рейтинг: Цена: 243800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This work comprises the proceedings of a conference held last year in Rhodes, Greece, to assess developments during the last 20 years in the field of nonlinear dynamics in geosciences.
Автор: Constantin Cranganu; Henri Luchian; Mihaela Elena Название: Artificial Intelligent Approaches in Petroleum Geosciences ISBN: 3319359924 ISBN-13(EAN): 9783319359922 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data.
Автор: Daya Sagar Название: Handbook of Mathematical Geosciences ISBN: 3319789988 ISBN-13(EAN): 9783319789989 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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