Difference between revisions of "Computational science"
Karl Jones (Talk | contribs) (→Massive calculations) |
Karl Jones (Talk | contribs) (→See also) |
||
Line 26: | Line 26: | ||
* [[Computer science]] | * [[Computer science]] | ||
* [[Computer simulation]] | * [[Computer simulation]] | ||
+ | * [[Floating point]] | ||
* [[Numerical analysis]] | * [[Numerical analysis]] | ||
* [[Theoretical computer science]] | * [[Theoretical computer science]] |
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.
Contents
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
- Computation
- Computer science
- Computer simulation
- Floating point
- Numerical analysis
- Theoretical computer science
External links
- Computational science @ Wikipedia