Mathematical Geoscience PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Mathematical Geoscience PDF full book. Access full book title Mathematical Geoscience.
| Author | : Andrew Fowler |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 895 |
| Release | : 2011-06-21 |
| Genre | : Mathematics |
| ISBN | : 085729721X |
Download Mathematical Geoscience Book in PDF, ePub and Kindle
Mathematical Geoscience is an expository textbook which aims to provide a comprehensive overview of a number of different subjects within the Earth and environmental sciences. Uniquely, it treats its subjects from the perspective of mathematical modelling with a level of sophistication that is appropriate to their proper investigation. The material ranges from the introductory level, where it can be used in undergraduate or graduate courses, to research questions of current interest. The chapters end with notes and references, which provide an entry point into the literature, as well as allowing discursive pointers to further research avenues. The introductory chapter provides a condensed synopsis of applied mathematical techniques of analysis, as used in modern applied mathematical modelling. There follows a succession of chapters on climate, ocean and atmosphere dynamics, rivers, dunes, landscape formation, groundwater flow, mantle convection, magma transport, glaciers and ice sheets, and sub-glacial floods. This book introduces a whole range of important geoscientific topics in one single volume and serves as an entry point for a rapidly expanding area of genuine interdisciplinary research. By addressing the interplay between mathematics and the real world, this book will appeal to graduate students, lecturers and researchers in the fields of applied mathematics, the environmental sciences and engineering.
| Author | : Joseph L. Awange |
| Publisher | : Springer |
| Total Pages | : 596 |
| Release | : 2018-01-29 |
| Genre | : Science |
| ISBN | : 3319673718 |
Download Mathematical Geosciences Book in PDF, ePub and Kindle
This book showcases powerful new hybrid methods that combine numerical and symbolic algorithms. Hybrid algorithm research is currently one of the most promising directions in the context of geosciences mathematics and computer mathematics in general. One important topic addressed here with a broad range of applications is the solution of multivariate polynomial systems by means of resultants and Groebner bases. But that’s barely the beginning, as the authors proceed to discuss genetic algorithms, integer programming, symbolic regression, parallel computing, and many other topics. The book is strictly goal-oriented, focusing on the solution of fundamental problems in the geosciences, such as positioning and point cloud problems. As such, at no point does it discuss purely theoretical mathematics. "The book delivers hybrid symbolic-numeric solutions, which are a large and growing area at the boundary of mathematics and computer science." Dr. Daniel Li chtbau
| Author | : B. S. Daya Sagar |
| Publisher | : Springer Nature |
| Total Pages | : 1744 |
| Release | : 2023-07-13 |
| Genre | : Science |
| ISBN | : 3030850404 |
Download Encyclopedia of Mathematical Geosciences Book in PDF, ePub and Kindle
The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.
| Author | : B.S. Daya Sagar |
| Publisher | : Springer |
| Total Pages | : 914 |
| Release | : 2018-06-25 |
| Genre | : Science |
| ISBN | : 3319789996 |
Download Handbook of Mathematical Geosciences Book in PDF, ePub and Kindle
This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.
| Author | : William Haneberg |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 386 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 3642185541 |
Download Computational Geosciences with Mathematica Book in PDF, ePub and Kindle
Computational Geosciences with Mathematica is the only book written by a geologist specifically to show geologists and geoscientists how to use Mathematica to formulate and solve problems. It spans a broad range of geologic and mathematical topics, which are drawn from the author's extensive experience in research, consulting, and teaching. 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. It is packed with actual Mathematica output and includes boxed Computer Notes with tips and exploration suggestions.
| Author | : Professor Gregoire Mariethoz |
| Publisher | : John Wiley & Sons |
| Total Pages | : 376 |
| Release | : 2014-10-16 |
| Genre | : Science |
| ISBN | : 1118662938 |
Download Multiple-point Geostatistics Book in PDF, ePub and Kindle
This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.
| Author | : Cyril Fleurant |
| Publisher | : Springer |
| Total Pages | : 191 |
| Release | : 2018-09-19 |
| Genre | : Science |
| ISBN | : 3319692429 |
Download Mathematics for Earth Science and Geography Book in PDF, ePub and Kindle
This undergraduate textbook presents a unique comprehensive overview on Mathematics in Earth Sciences and Geography. It deals with fundamental theoretical and applied mathematics, needed by bachelor students in a wide range of subjects. The book is illustrated with many examples and over a hundred practical exercises, with solutions included in the book. In addition, this textbook highlights numerical resources by using two free software packages (R and Xcas) and introducing their use.
| Author | : Richard J. Howarth |
| Publisher | : Springer |
| Total Pages | : 893 |
| Release | : 2017-05-27 |
| Genre | : Science |
| ISBN | : 3319573152 |
Download Dictionary of Mathematical Geosciences Book in PDF, ePub and Kindle
This dictionary includes a number of mathematical, statistical and computing terms and their definitions to assist geoscientists and provide guidance on the methods and terminology encountered in the literature. Each technical term used in the explanations can be found in the dictionary which also includes explanations of basics, such as trigonometric functions and logarithms. There are also citations from the relevant literature to show the term’s first use in mathematics, statistics, etc. and its subsequent usage in geosciences.
| Author | : Adrian Burd |
| Publisher | : Cambridge University Press |
| Total Pages | : 599 |
| Release | : 2019-04-18 |
| Genre | : Mathematics |
| ISBN | : 1107117488 |
Download Mathematical Methods in the Earth and Environmental Sciences Book in PDF, ePub and Kindle
An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.
| Author | : Joseph L. Awange |
| Publisher | : Springer Nature |
| Total Pages | : 733 |
| Release | : 2023-04-07 |
| Genre | : Science |
| ISBN | : 3030924955 |
Download Mathematical Geosciences Book in PDF, ePub and Kindle
This second edition of Mathematical Geosciences book adds five new topics: Solution equations with uncertainty, which proposes two novel methods for solving nonlinear geodetic equations as stochastic variables when the parameters of these equations have uncertainty characterized by probability distribution. The first method, an algebraic technique, partly employs symbolic computations and is applicable to polynomial systems having different uncertainty distributions of the parameters. The second method, a numerical technique, uses stochastic differential equation in Ito form; Nature Inspired Global Optimization where Meta-heuristic algorithms are based on natural phenomenon such as Particle Swarm Optimization. This approach simulates, e.g., schools of fish or flocks of birds, and is extended through discussion of geodetic applications. Black Hole Algorithm, which is based on the black hole phenomena is added and a new variant of the algorithm code is introduced and illustrated based on examples; The application of the Gröbner Basis to integer programming based on numeric symbolic computation is introduced and illustrated by solving some standard problems; An extension of the applications of integer programming solving phase ambiguity in Global Navigation Satellite Systems (GNSSs) is considered as a global quadratic mixed integer programming task, which can be transformed into a pure integer problem with a given digit of accuracy. Three alternative algorithms are suggested, two of which are based on local and global linearization via McCormic Envelopes; and Machine learning techniques (MLT) that offer effective tools for stochastic process modelling. The Stochastic Modelling section is extended by the stochastic modelling via MLT and their effectiveness is compared with that of the modelling via stochastic differential equations (SDE). Mixing MLT with SDE also known as frequently Neural Differential Equations is also introduced and illustrated by an image classification via a regression problem.
