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Mathematical Modeling in Science and Engineering - An Axiomatic Approach

Name: Mathematical Modeling in Science and Engineering - An Axiomatic Approach
Brand: John Wiley & Sons Inc
SKU: 9781118087572
Price: 103.05 EUR
Availability: InStock

Автор: Ismael Herrera, George F. Pinder

Език:

Корици: С твърди корици

Издател: John Wiley & Sons Inc

Наличност: Външен склад в ограничено количество

Изпращаме след 11-15 дни

103.05 € 201.55 лв

A powerful, unified approach to mathematical and computational modeling in science and engineering§M...

Информация за книгата

Автор

Ismael Herrera, George F. Pinder

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2012

страници

264

EAN

9781118087572

ISBN

1118087577

Enbook ID

01401760

Издател

John Wiley & Sons Inc

Теглоt

566

Размери

162 x 243 x 22

Пълно описание

A powerful, unified approach to mathematical and computational modeling in science and engineering§Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system.§Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as:§Mechanics of classical and non-classical continuous systems§Solute transport by a free fluid§Flow of a fluid in a porous medium§Multiphase systems§Enhanced oil recovery§Fluid mechanics§Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics.§Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.A powerful, unified approach to mathematical and computational modeling in science and engineering§Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system.Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as:§Mechanics of classical and non-classical continuous systems§Solute transport by a free fluid§Flow of a fluid in a porous medium§Multiphase systems§Enhanced oil recovery§Fluid mechanics§Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics.§Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.

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