Difference between revisions of "Computational science"

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== Massive calculations ==
 
== Massive calculations ==
  
In some cases, these models require massive amounts of calculations (usually [[floating-point]]) and are often executed on supercomputers or distributed computing platforms.
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In some cases, these models require massive amounts of calculations (usually [[floating point]]) and are often executed on supercomputers or distributed computing platforms.
  
 
== Numerical analysis ==
 
== Numerical analysis ==

Revision as of 08:26, 5 February 2016

Computational science (also scientific computing or scientific computation) is concerned with constructing mathematical models and numerical analysis techniques and using computers to analyze and solve scientific problems.

Description

In practical use, it is typically the application of computer simulation and other forms of computation from numerical analysis and theoretical computer science to problems in various scientific disciplines.

The field is different from theory and laboratory experiment which are the traditional forms of science and engineering.

Mathematical modelling

The scientific computing approach is to gain understanding, mainly through the analysis of mathematical models implemented on computers.

Scientists and engineers develop computer programs, application software, that model systems being studied and run these programs with various sets of input parameters.

Massive calculations

In some cases, these models require massive amounts of calculations (usually floating point) and are often executed on supercomputers or distributed computing platforms.

Numerical analysis

Numerical analysis is an important underpinning for techniques used in computational science.

See also

External links