rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical Modeling in Economics, Ecology and the Environment
  name:
    name part: Hritonenko, Natali.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Yatsenko, Yuri.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    edition: 2nd ed. 2013.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 296 p. 34 illus., 8 illus. in color. online resource.
  abstract: 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 of interdisciplinary 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.
  table of contents: Preface -- 1. Introduction: Principles and Tools of Mathematical Modeling. Part I. Models of Controlled Economic Systems -- 2. Aggregate Models of Economic Dynamics -- 3. Modeling of Technological Change -- 4. Models with Heterogeneous Capital -- 5. Optimization of Economic Renovation -- Part II. Models in Ecology and Environment -- 6. Mathematical Models of Biological Populations -- 7. Modeling and Control of Biological Communities -- 8. Models of Air Pollution Propagation -- 9. Models of Water Pollution Propagation -- Part III. Models of Economic-Environmental Systems -- 10. Modeling of Non-Renewable Resources -- 11. Modeling of Environmental Protection -- 12. Models of Global Dynamics: from the Club of Rome to Integrated Assessment.- Index.
  note: by Natali Hritonenko, Yuri Yatsenko.
  subject:
    topic: Mathematics
  subject:
    topic: Business
  subject:
    topic: Management science
  subject:
    topic: Mathematical models
  subject:
    topic: Environmental sciences
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Business and Management, general
  subject:
    topic: Math. Appl. in Environmental Science
  classification: TA342-343
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Optimization and Its Applications, 88
  identifier: 9781461493112
  identifier: http://dx.doi.org/10.1007/978-1-4614-9311-2
  record info:
    record creation date: 140108
    record change date: 20151204161255.0
    record identifier: 978-1-4614-9311-2