Mathematics for the Environment

Author:   Martin Walter
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032917832


Pages:   678
Publication Date:   14 October 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Mathematics for the Environment


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Full Product Details

Author:   Martin Walter
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   1.251kg
ISBN:  

9781032917832


ISBN 10:   1032917830
Pages:   678
Publication Date:   14 October 2024
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

"The book can be recommended to all those readers who are interested in applied mathematics as well as to those who do not think of themselves as mathematicians yet being interested in laws and relationships in which mathematics may be a helpful tool. —Herbert S. Buscher, Zentralblatt MATH 1211 The book is heavily referenced … there are many detailed exercises designed to highlight how mathematics can be used to explain natural phenomena and human behavior and its consequences. … this book could serve as a text for courses in applied mathematics and a resource for study material in many other subject areas … —MAA Reviews, July 2011 ""Recently I purchased Mathematics for the Environment and find it to be one of the most fascinating and comprehensive that I have ever encountered. Next semester I will be teaching a class on mathematical modeling for seniors in our department, and intend to use (with attribution of course) some of the examples and questions. Never have I seen such an eclectic set of topics in a single volume. Basically I am writing to thank you for it, and to say ‘Bravo’!"" —John A. Adam, Ph.D., University Professor and Professor of Mathematics Department of Mathematics & Statistics Engineering & Computational Sciences Building Old Dominion University, Norfolk, Virginia, USA"


Author Information

Martin Walter is a professor in the Department of Mathematics at the University of Colorado at Boulder. Dr. Walter is a Sloan, Woodrow Wilson, and National Science Foundation Fellow as well as a member of the American Mathematical Society and Mathematical Association of America. He has lectured or taught in various countries, including Japan, China, Poland, Romania, Australia, Belgium, Norway, Sweden, Denmark, England, Germany, India, Italy, Mexico, Puerto Rico, Canada, and Brazil.

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