
Mathematical Modelling
Classroom Notes in Applied Mathematics
Murray S. Klamkin(Editor)
Society for Industrial & Applied Mathematics,U.S. (Publisher)
Will be published approx. on 31. December 1987
Book
Paperback/Softback
352 pages
978-0-89871-204-9 (ISBN)
Description
Designed for classroom use, this book contains short, self contained mathematical models of problems in the physical, mathematical, and biological sciences first published in the Classroom Notes section of the SIAM Review from 1975-1985. The problems provide an ideal way to make complex subject matter more accessible to the student through the use of concrete applications. Each section has extensive supplementary references provided by the editor from his years of experience with mathematical modelling.
Reviews / Votes
'This collection provides a tremendous resource for undergraduate courses in mathematical modeling; it also demonstrates the importance of physics, geometry, and probability in the education of mathematical modelers.' Mathematics MagazineMore details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Dimensions
Height: 228 mm
Width: 152 mm
Weight
600 gr
ISBN-13
978-0-89871-204-9 (9780898712049)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Introduction
Part I: Physical and Mathematical Sciences
Mechanics
Heat Transfer
Traffic Flow
Electrical Networks
Communication and Coding
Graph Theory and Applications
Applied Geometry
Numerical Analysis
Mathematical Economics
Optimization
Music
Stochastic Models
Part II: Life Sciences: Population Models
Medical Models.
Part I: Physical and Mathematical Sciences
Mechanics
Heat Transfer
Traffic Flow
Electrical Networks
Communication and Coding
Graph Theory and Applications
Applied Geometry
Numerical Analysis
Mathematical Economics
Optimization
Music
Stochastic Models
Part II: Life Sciences: Population Models
Medical Models.