Mathematical Methods in the Earth and Environmental Sciences
Title | Mathematical Methods in the Earth and Environmental Sciences PDF eBook |
Author | Adrian Burd |
Publisher | Cambridge University Press |
Pages | 599 |
Release | 2019-04-18 |
Genre | Mathematics |
ISBN | 1107117488 |
An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.
Introduction to Applied Mathematics for Environmental Science
Title | Introduction to Applied Mathematics for Environmental Science PDF eBook |
Author | David F. Parkhurst |
Publisher | Springer Science & Business Media |
Pages | 326 |
Release | 2007-12-06 |
Genre | Science |
ISBN | 0387342281 |
This book teaches mathematical structures and how they can be applied in environmental science. Each chapter presents story problems with an emphasis on derivation. For each of these, the discussion follows the pattern of first presenting an example of a type of structure as applied to environmental science. The definition of the structure is presented, followed by additional examples using MATLAB, and analytic methods of solving and learning from the structure.
Mathematics for Earth Science and Geography
Title | Mathematics for Earth Science and Geography PDF eBook |
Author | Cyril Fleurant |
Publisher | Springer |
Pages | 201 |
Release | 2018-09-19 |
Genre | Science |
ISBN | 3319692429 |
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.
Machine Learning Methods in the Environmental Sciences
Title | Machine Learning Methods in the Environmental Sciences PDF eBook |
Author | William W. Hsieh |
Publisher | Cambridge University Press |
Pages | 364 |
Release | 2009-07-30 |
Genre | Computers |
ISBN | 0521791928 |
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Mathematical Geosciences
Title | Mathematical Geosciences PDF eBook |
Author | Joseph L. Awange |
Publisher | Springer |
Pages | 615 |
Release | 2018-01-29 |
Genre | Science |
ISBN | 3319673718 |
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
Climate Mathematics
Title | Climate Mathematics PDF eBook |
Author | Samuel S. P. Shen |
Publisher | Cambridge University Press |
Pages | 417 |
Release | 2019-09-19 |
Genre | Computers |
ISBN | 1108476872 |
Presents the core mathematics, statistics, and programming skills needed for modern climate science courses, with online teaching materials.
Mathematical Modeling of Earth's Dynamical Systems
Title | Mathematical Modeling of Earth's Dynamical Systems PDF eBook |
Author | Rudy Slingerland |
Publisher | Princeton University Press |
Pages | 246 |
Release | 2011-03-28 |
Genre | Science |
ISBN | 1400839114 |
A concise guide to representing complex Earth systems using simple dynamic models Mathematical Modeling of Earth's Dynamical Systems gives earth scientists the essential skills for translating chemical and physical systems into mathematical and computational models that provide enhanced insight into Earth's processes. Using a step-by-step method, the book identifies the important geological variables of physical-chemical geoscience problems and describes the mechanisms that control these variables. This book is directed toward upper-level undergraduate students, graduate students, researchers, and professionals who want to learn how to abstract complex systems into sets of dynamic equations. It shows students how to recognize domains of interest and key factors, and how to explain assumptions in formal terms. The book reveals what data best tests ideas of how nature works, and cautions against inadequate transport laws, unconstrained coefficients, and unfalsifiable models. Various examples of processes and systems, and ample illustrations, are provided. Students using this text should be familiar with the principles of physics, chemistry, and geology, and have taken a year of differential and integral calculus. Mathematical Modeling of Earth's Dynamical Systems helps earth scientists develop a philosophical framework and strong foundations for conceptualizing complex geologic systems. Step-by-step lessons for representing complex Earth systems as dynamical models Explains geologic processes in terms of fundamental laws of physics and chemistry Numerical solutions to differential equations through the finite difference technique A philosophical approach to quantitative problem-solving Various examples of processes and systems, including the evolution of sandy coastlines, the global carbon cycle, and much more Professors: A supplementary Instructor's Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html