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Mathematical Modeling and Computational Science

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A mathematical model is the use of mathematical language to describe ... Seismology. Structural analysis. Chemistry. Magnetohydrodynamics. Reservoir modeling ... – PowerPoint PPT presentation

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Title: Mathematical Modeling and Computational Science


1
Mathematical Modeling and Computational Science
2
Mathematical Modeling
  • A mathematical model is the use of mathematical
    language to describe the behavior of a system.
  • Mathematical models are used in particularly in
    the sciences such biology, electrical
    engineering, physics but also in other fields
    such as economics, sociology and political
    science

3
Mathematical Modeling
  • is a mathematical description of a physical
    situation.

4
Numerical Analysis
  • this refers to the analysis of mathematical
    problems by numerical means, especially
    mathematical problems arising from models based
    on calculus.

5
Numerical Analysis
  • effective numerical analysis requires
  • an understanding of the computational tool being
    used, be it a calculator or a computer.
  • an understanding of the problem to be solved.
  • construction of an algorithm which will solve
    the given mathematical problem to a given desired
    accuracy and within the limits of the resources
    that are available.

6
Computational Science
  • is the field of study concerned with
    constructing mathematical models and numerical
    solution techniques and using computers to
    analyze and solve scientific and engineering
    problems

7
Computational Science
  • application programs often model real-world
    changing conditions, such as weather, air flow
    around a plane, automobile body distortions in a
    crash, the motion of stars in a galaxy, an
    explosive device, etc

8
Computational Science
  • focuses on a scientific and engineering problem
    and draws from computer science and mathematics
    to gain an improved understanding of the problem.

9
Traditional areas of Computational Science
  • Computational fluid dynamic
  • Atmospheric science
  • Seismology
  • Structural analysis
  • Chemistry
  • Magnetohydrodynamics
  • Reservoir modeling
  • Global ocean/climate modeling
  • Environmental studies
  • Nuclear engineering

10
Nontraditional and emerging areas of
computational science
  • Biology
  • Economics
  • Materials research
  • Medical imaging
  • Animal science
  • Music
  • Visual arts
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