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: Modelling, Analysis and Optimization of Biosystems
  name:
    name part: Krabs, Werner.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Pickl, Stefan Wolfgang.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 203 p. online resource.
  abstract: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.
  table of contents: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis.
  note: by Werner Krabs, Stefan Wolfgang Pickl.
  subject:
    topic: Mathematics
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Hematology
  subject:
    topic: Biology
    topic: Technique
  subject:
    topic: Biomathematics
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Biological Techniques
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Hematology
  subject:
    topic: Control, Robotics, Mechatronics
  classification: QH323.5
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540714538
  identifier: http://dx.doi.org/10.1007/978-3-540-71453-8
  record info:
    record creation date: 100301
    record change date: 20151204181343.0
    record identifier: 978-3-540-71453-8