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Mathematical Modelling Techniques, Paperback by Aris, Rutherford, Brand New, ...

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Mathematical Modelling Techniques
ISBN
9780486681313
Subject Area
Mathematics
Publication Name
Mathematical Modelling Techniques
Publisher
Dover Publications, Incorporated
Item Length
9.2 in
Subject
General, Discrete Mathematics
Publication Year
1995
Series
Dover Books on Computer Science Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Rutherford Aris
Features
Reprint
Item Weight
15 Oz
Item Width
6.4 in
Number of Pages
288 Pages

About this product

Product Information

""Engaging."" - Applied Mathematical Modelling. A theoretical chemist and engineer discusses the types of models - finite, statistical, stochastic, and more - as well as how to formulate and manipulate them for best results.

Product Identifiers

Publisher
Dover Publications, Incorporated
ISBN-10
0486681319
ISBN-13
9780486681313
eBay Product ID (ePID)
127440983

Product Key Features

Number of Pages
288 Pages
Language
English
Publication Name
Mathematical Modelling Techniques
Publication Year
1995
Subject
General, Discrete Mathematics
Features
Reprint
Type
Textbook
Subject Area
Mathematics
Author
Rutherford Aris
Series
Dover Books on Computer Science Ser.
Format
Trade Paperback

Dimensions

Item Weight
15 Oz
Item Length
9.2 in
Item Width
6.4 in

Additional Product Features

LCCN
94-023196
Dewey Edition
20
Target Audience
College Audience
Illustrated
Yes
Dewey Decimal
511/.8
Edition Description
Reprint
Lc Classification Number
Qa401.A68 1994
Table of Content
1. What is a model? 1.1 The idea of a mathematical model and its relation to other uses of the word 1.2 Relations between models with respect to origins 1.3 Relations between models with respect to purpose and conditions 1.4 How should a model be judged?2. The Different types of model 2.1 Verbal models and mechanical analogies 2.2 Finite models 2.3 Fuzzy subsets 2.4 Statistical models 2.5 Difference and differential equations 2.6 Stochastic models3. How to formulate a model 3.1 Laws and conservation principles 3.2 Constitutive relations 3.3 Discrete and continuous models4. How should a model be manipulated into its most responsive form? 4.1 Introductory suggestions 4.2 Natural languages and notations 4.3 Rendering the variables and parameters dismensionless 4.4 Reducing the number of equations and simplifying them 4.5 Getting partial insights into the form of the solution 4.5.1 The phase plane and competing populations 4.5.2 Coarse numerical methods and their uses 4.5.3 The interaction of easier and more difficult problems5. How should a model be evaluated? 5.1 Effective presentation of a model 5.2 Extension of models 5.3 Observable quantities 5.4 Comparison of models and prototypes and of models among themselves Appendices A. Longitudinal diffusion in a packed bed B. The coated tube chromatograph and Taylor diffusion C. The stirred tank reactor References Subject index Name idex Appendices to the Dover Edition I. "Re, k and p: A Conversation on Some Aspects of Mathematical Modelling" II. The Jail of Shape III. The Mere Notion of a Model IV. "Ut Simulacrum, Poesis" V. Manners Makyth Modellers VI. How to Get the Most Out of an Equation without Really Trying
Copyright Date
1994

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