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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
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Published by Oxford University Press, USA, 2015
ISBN 10: 0199683093 ISBN 13: 9780199683093
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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Published by Oxford University Press, 2023
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Published by Oxford University Press, 2023
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Published by Oxford University Press, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Published by Oxford University Press, 2023
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Published by Oxford University Press, 2023
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Published by Oxford University Press, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, GB, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Add to basketPaperback. Condition: New. This innovative study presents concepts and problems in soil physics, and provides solutions using original computer programs. It provides a close examination of physical environments of soil, including an analysis of the movement of heat, water and gases. The authors employ the programming language Python, which is now widely used for numerical problem solving in the sciences. In contrast to the majority of the literature on soil physics, this text focuses on solving, not deriving, differential equations for transport. Using numerical procedures to solve differential equations allows the solution of quite difficult problems with fairly simple mathematical tools. Numerical methods convert differential into algebraic equations, which can be solved using conventional methods of linear algebra. Each chapter introduces a soil physics concept, and proceeds to develop computer programs to solve the equations and illustrate the points made in the discussion.Problems at the end of each chapter help the reader practise using the concepts introduced. The text is suitable for advanced undergraduates, graduates and researchers of soil physics. It employs an open source philosophy where computer code is presented, explained and discussed, and provides the reader with a full understanding of the solutions. Once mastered, the code can be adapted and expanded for the user's own models, fostering further developments. The Python tools provide a simple syntax, Object Oriented Programming techniques, powerful mathematical and numerical tools, and a user friendly environment.
Language: English
Published by Oxford University Press, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Published by Oxford University Press, 2020
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Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Published by Oxford University Press, Oxford, 2022
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Paperback. Condition: new. Paperback. Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic.Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 400 pages. 10.00x7.00x1.00 inches. In Stock.
Language: English
Published by Oxford University Press, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Published by Oxford University Press, 2023
ISBN 10: 0198862520 ISBN 13: 9780198862529
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Language: English
Published by Oxford University Press, Oxford, 2020
ISBN 10: 019885479X ISBN 13: 9780198854791
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Paperback. Condition: new. Paperback. This innovative study presents concepts and problems in soil physics, and provides solutions using original computer programs. It provides a close examination of physical environments of soil, including an analysis of the movement of heat, water and gases. The authors employ the programming language Python, which is now widely used for numerical problem solving in the sciences. In contrast to the majority of the literature on soil physics, this text focuses onsolving, not deriving, differential equations for transport. Using numerical procedures to solve differential equations allows the solution of quite difficult problems with fairly simple mathematicaltools. Numerical methods convert differential into algebraic equations, which can be solved using conventional methods of linear algebra. Each chapter introduces a soil physics concept, and proceeds to develop computer programs to solve the equations and illustrate the points made in the discussion.Problems at the end of each chapter help the reader practise using the concepts introduced. The text is suitable for advanced undergraduates, graduates and researchers ofsoil physics. It employs an open source philosophy where computer code is presented, explained and discussed, and provides the reader with a full understanding of the solutions. Once mastered, the codecan be adapted and expanded for the user's own models, fostering further developments. The Python tools provide a simple syntax, Object Oriented Programming techniques, powerful mathematical and numerical tools, and a user friendly environment. A textbook describing the physical environment of soil, including the movement of heat, water and gases. Transport problems are described mathematically, and methods for solving the problems, using original computer programs written in Python, are presented. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 464 pages. 9.75x6.75x1.00 inches. In Stock.