1 Symbolic Computation
Also called formula manipulation or algebraic computation.
Symbolic computation refers to the automatic transformation of mathematical expressions in symbolic form, hence in an exact way, as opposed to numerical and hence limited-precision floating-point computation. Typical operations include differentiation and integration, linear algebra and matrix calculus, operations with polynomials, or the simplification of algebraic expressions.
Primarily designed for applications in theoretical physics or mathematics, these systems (which are often interactive in the case of CASes) can be used in any area where straightforward but tedious or lengthy calculations with formulae are required.
Some well known, general symbolic computation CASes are:
These systems have different scope and facilities, and some are easier to use or to access than others. There is a trend away from generalized CAS systems to more specialized, application-specific systems, such as:
http://pari.math.u-bordeaux.fr/PARI-GP (computations on curves)
http://www-gap.dcs.st-and.ac.uk/ gap/GAP (group theory)
Some non-CAS symbolic computation libraries, with their supported languages, are:
- 1 Based on content from the http://rkb.home.cern.ch/rkb/titleA.htmlData Analysis Briefbook
|Date of creation||2013-03-22 12:04:20|
|Last modified on||2013-03-22 12:04:20|
|Last modified by||akrowne (2)|
|Defines||computer algebra systems|