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Mathematical modeling / Mark M. Meerschaert.

By: Material type: TextTextPublisher: Amsterdam : Academic Press/Elsevier, 2013Edition: Fourth editionDescription: xii, 365 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780123869128
  • 0123869129
Subject(s): DDC classification:
  • 511/.8 23 MEE
LOC classification:
  • QA401 MEE
Contents:
Optimization models. One-Variable Optimization ; Multivariable Optimization ; Computational Methods for Optimization. -- Dynamic models. Introduction to Dynamic Models ; Analysis of Dynamic Models ; Simulation of Dynamic Models. -- Probability models. Introduction to Probability Models ; Stochastic Models ; Simulation of Probability Models.
Summary: "Meerschaert's new edition strengthens his position as the survey text of choice for mathematical modeling courses, adding ample instructor support and leveraging on-line delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision-making in our society, and if the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor, as recent events have proved. Since mathematical modeling is a rapidly growing specialty with applications in so many scientific and technical disciplines, there is a need for mathematically rigorous treatments of the subject, and particularly for texts that expose students to a range of possible approaches."--Publisher's website.
Item type: Books
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books GSU Library Epoch General Stacks QA401MEE (Browse shelf(Opens below)) Available 50000002143

Includes bibliographical references and index.

Optimization models. One-Variable Optimization ; Multivariable Optimization ; Computational Methods for Optimization. -- Dynamic models. Introduction to Dynamic Models ; Analysis of Dynamic Models ; Simulation of Dynamic Models. -- Probability models. Introduction to Probability Models ; Stochastic Models ; Simulation of Probability Models.

"Meerschaert's new edition strengthens his position as the survey text of choice for mathematical modeling courses, adding ample instructor support and leveraging on-line delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision-making in our society, and if the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor, as recent events have proved. Since mathematical modeling is a rapidly growing specialty with applications in so many scientific and technical disciplines, there is a need for mathematically rigorous treatments of the subject, and particularly for texts that expose students to a range of possible approaches."--Publisher's website.

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