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Fb2 Guide to Mathematical Modelling ePub

by Dilwyn Edwards

Category: Science and Mathematics
Subcategory: Other
Author: Dilwyn Edwards
ISBN: 0831133376
ISBN13: 978-0831133375
Language: English
Publisher: Industrial Press, Inc.; Second edition (April 1, 2007)
Pages: 320
Fb2 eBook: 1271 kb
ePub eBook: 1954 kb
Digital formats: azw lrf mbr lit

I have personally found this book to be extremely helpful in understanding mathematical modeling as well as statistical models in general

I have personally found this book to be extremely helpful in understanding mathematical modeling as well as statistical models in general. The book helps define what mathematical modeling is exactly, a framework to go about developing your own models and provides ample example cases so that you truly "get" what they are trying to teach you. I found the many examples given throughout the book to be the most helpful.

Guide to Mathematical Modelling. The authors' enthusiasm for their subject is eloquently conveyed in this book, and draws the reader very quickly into active investigation of the problems posed. Part of the Mathematical Guides book series (MG). By providing plenty of modelling examples from a wide variety of fields - most of which are familiar from everyday life - the book shows how to apply mathematical ideas to situations which would not previously have been considered to be 'mathematical' in character. differential equation Mathematica modeling.

Guide to Mathematical Modelling book.

Dilwyn Edwards, Mike Hamson. A basic introduction to Mathematical Modeling, this book encourages readers to participate in the investigation of a wide variety of modeling examples. These are carefully paced so that readers can identify and develop the skills which are required for successful modeling. The examples also promote an appreciation of the enormous range of problems to which mathematical modeling skills can be usefully applied.

Guide to mathematical modelling Edwards, Dilwyn Hamson, Mike Springer 9780333794463 : A basic introduction to mathematical modelling, this book encourages the reader to participate in the inve. Поставляется из: Германии Описание: A basic introduction to mathematical modelling, this book encourages the reader to participate in the investigation of a wide variety of modelling examples. These are carefully paced so that readers can identify and develop the skills which are required for successful modelling.

A basic introduction to Mathematical Modelling, this book encourages the reader to participate in the investigation of a wide variety of modelling examples. These are carefully paced so that the readers can identify and develop the skills which are required for successful modelling. The examples also promote an appreciation of the enormous range of problems to which mathematical modelling skills can be usefully applied. Basic introduction to the subject Lots of worked examples to bring the subject to life.

Find many great new & used options and get the best deals for Guide to Mathematical Modelling by Mike . We take pride in serving you. Pages maybe folded due to previous owners use. Books spine maybe slightly creased due to age and wear. Length: 229. Read full description.

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Guide to Mathematical Modeling. A basic introduction to mathematical modeling, this book encourages readers to participate in the investigation of a wide variety of modeling examples

Guide to Mathematical Modeling. Contains 12 examples that are completely new and have been used by student groups.

As we have seen, mathematical modelling involves variables, parameters and constants, all of which represent quantities which can (in principle at least) be measured. Any physical quantity such as length or mass is measured by writing a number followed by a unit of measurement, . a length of . m, where the m stands for metre. In this case the metre is the unit of measurement.

A basic introduction to Mathematical Modeling, this book encourages readers to participate in the investigation of a wide variety of modeling examples. These are carefully paced so that readers can identify and develop the skills which are required for successful modeling. The examples also promote an appreciation of the enormous range of problems to which mathematical modeling skills can be usefully applied.

Contains 12 examples that are completely new and have been used by student groups.The chapter on difference equations is new to this edition.Presents modeling methodology in detail and includes the essential skills for producing a successful model. Provides coverage of ‘discrete’ models where the outcome is needed at discrete time intervals, such as hourly, daily, and yearly.Investigates models in which the variables are continuous functions of time, such as often occurs in physics and engineering problems.Covers problems that include a random feature that demand some statistical analysis.Presents a collection of more demanding examples, some of which are fully developed while others are left for students to process.Offers a chapter on communication skills, enabling students to explain the ideas behind the model to other people.
Comments to eBook Guide to Mathematical Modelling
Quphagie
Very easy to read.author uses many examples from a variety of fields.this book helped me understand the topic.
Models were something I wanted to apply to biomedical research.
Ann
I have personally found this book to be extremely helpful in understanding mathematical modeling as well as statistical models in general. The book helps define what mathematical modeling is exactly, a framework to go about developing your own models and provides ample example cases so that you truly "get" what they are trying to teach you.

I found the many examples given throughout the book to be the most helpful. Given that they go over several types of modeling techniques (e.g., using difference equations, differential equations, simulation, data fitting, etc.), the examples help solidify when you might use one technique over another as well as the benefits and drawbacks of each. Furthermore, I have developed a better appreciation for certain mathematical concepts that I understood from a technical sense, but not necessarily from an intuitive or conceptual sense.

Some examples that they go over include those from the physical world (e.g., parachuting, evacuating a building, etc.), the business world (e.g., profit maximization) and the "real world" (e.g., population growth, survival, etc.).

Overall I highly recommend this book.
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