Mathematical Modelling for Earth Sciences download PDF, EPUB, Kindle
Mathematical Modelling for Earth Sciences download PDF, EPUB, Kindle
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Author: Xin-She Yang
Page Count: 272 pages
Published Date: 17 Apr 2008
Publisher: Dunedin Academic Press
Publication Country: Edinburgh, United Kingdom
Language: English
ISBN: 9781903765920
Download Link: Mathematical Modelling for Earth Sciences
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Mathematical modelling and computer simulations are an essential part of the analytical toolset used by earth scientists. Computer simulations based on mathematical models are routinely used to study geophysical, environmental, and geological processes in many areas of work and research from geophysics to petroleum engineering and from hydrology to environmental fluid dynamics. Author Xin-She Yang has carefully selected the topics which will be of most value to students. Dr. Yang has recognized the need to be careful in his examples while being comprehensive enough to include important topics and popular algorithms. The book is designed to be 'theorem-free' while balancing formality and practicality. Using worked examples and tackling each problem in a step-by-step manner, the text is especially suitable for more advanced students of this aspect of earth sciences. The coverage and level, for instance in the calculus of variation and pattern formation, will be of interest to mathematicians. Topics covered include: vector and matrix analysis . ordinary differential equations . partial differential equations . calculus of variations . integral equations . probability . geostatistics . numerical integration . optimization . finite difference methods . finite volume methods . finite element methods . reaction-diffusion system . elasticity . fracture mechanics . poroelasticity . flows in porous media.
Read online Mathematical Modelling for Earth Sciences Buy Mathematical Modelling for Earth Sciences Download Mathematical Modelling for Earth Sciences for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Mathematical Modelling for Earth Sciences
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Mathematical Modelling for Earth Sciences. Xin-She Yang
Author: Xin-She Yang
Page Count: 272 pages
Published Date: 17 Apr 2008
Publisher: Dunedin Academic Press
Publication Country: Edinburgh, United Kingdom
Language: English
ISBN: 9781903765920
Download Link: Mathematical Modelling for Earth Sciences
---------------------------------------------------------------
Mathematical modelling and computer simulations are an essential part of the analytical toolset used by earth scientists. Computer simulations based on mathematical models are routinely used to study geophysical, environmental, and geological processes in many areas of work and research from geophysics to petroleum engineering and from hydrology to environmental fluid dynamics. Author Xin-She Yang has carefully selected the topics which will be of most value to students. Dr. Yang has recognized the need to be careful in his examples while being comprehensive enough to include important topics and popular algorithms. The book is designed to be 'theorem-free' while balancing formality and practicality. Using worked examples and tackling each problem in a step-by-step manner, the text is especially suitable for more advanced students of this aspect of earth sciences. The coverage and level, for instance in the calculus of variation and pattern formation, will be of interest to mathematicians. Topics covered include: vector and matrix analysis . ordinary differential equations . partial differential equations . calculus of variations . integral equations . probability . geostatistics . numerical integration . optimization . finite difference methods . finite volume methods . finite element methods . reaction-diffusion system . elasticity . fracture mechanics . poroelasticity . flows in porous media.
Read online Mathematical Modelling for Earth Sciences Buy Mathematical Modelling for Earth Sciences Download Mathematical Modelling for Earth Sciences for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Mathematical Modelling for Earth Sciences
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