Mathematical modeling in economics, ecology, and environment /

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Bibliographic Details
Author / Creator:	Hritonenko, Natali, author.
Edition:	[Second edition]
Imprint:	New York : Springer, [2013] ©2013
Description:	1 online resource (xvii, 296 pages) : illustrations.
Language:	English
Series:	Springer optimization and its applications ; volume 88 Springer optimization and its applications ; v.88.
Subject:	Mathematical models. Economics -- Mathematical models. Environmental sciences -- Mathematical models. Economics -- Mathematical models. Environmental sciences -- Mathematical models. Mathematical models.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/9982665

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Other authors / contributors:	I͡At͡senko, I͡U. P. (I͡Uriĭ Petrovich)
ISBN:	9781461493112 (electronic bk.) 1461493110 (electronic bk.) 9781461493105
Notes:	Includes bibliographical references and index. Description based on print version record.
Summary:	Updated to textbook form by popular demand, this second edition discusses diverse mathematical models used in economics, ecology, and the environmental sciences with emphasis on control and optimization. It is intended for graduate and upper-undergraduate course use, however, applied mathematicians, industry practitioners, and a vast number ofinterdisciplinary academics will find the presentation highly useful. Core topics of this text are: Economic growth and technological development Population dynamics and human impact on the environment Resource extraction and scarcity Air and water contamination Rational management of the economy and environment Climate change and global dynamics The step-by-step approach taken is problem-based and easy to follow. The authors aptly demonstrate that the same models may be used to describe different economic and environmental processes and that similar investigation techniques are applicable to analyze various models. Instructors will appreciate the substantial flexibility that this text allows while designing their own syllabus. Chapters are essentially self-contained and may be covered in full, in part, and in any order. Appropriate one- and two-semester courses include, but are not limited to, Applied Mathematical Modeling, Mathematical Methods in Economics and Environment, Models of Biological Systems, Applied Optimization Models, and Environmental Models. Prerequisites for the courses are Calculus and, preferably, Differential Equations.
Standard no.:	10.1007/978-1-4614-9311-2

Table of Contents:

Introduction: Principles and Tools of Mathematical Modeling
Mathematical Models in Economics. Aggregate Models of Economic Dynamics
Modeling of Technological Change
Models with Heterogeneous Capital
Optimization of Economic Renovation
Models in Ecology and Environment. Mathematical Models of Biological Populations
Modeling of Heterogeneous and Controlled Populations
Models of Air Pollution Propagation
Models of Water Pollution Propagation
Models of Economic-Environmental Systems. Modeling of Nonrenewable Resources
Modeling of Environmental Protection
Models of Global Dynamics: From Club of Rome to Integrated Assessment.

Mathematical modeling in economics, ecology, and environment /

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