Computational mathematics
Computational mathematics proposes and studies methods for solving mathematical problems that are typically too large for human numerical capacity. Numerical analysis studies methods for problems in analysis using ideas of functional analysis and techniques ofapproximation theory; numerical analysis includes the study of approximation and discretization broadly with special concern for rounding errors. Other areas of computational mathematics include computer algebra and symbolic computation.
Computational mathematics emerged as a distinct part of applied mathematics by early 1950s. Currently, computational mathematics can refer to or include:
- computational science, also known as scientific computation or computational engineering
- solving mathematical problems by computer simulation as opposed to analytic methods of applied mathematics
- numerical methods used in scientific computation, for example numerical linear algebra and numerical solution of partial differential equations
- stochastic methods,[2] such as Monte Carlo methods and other representations of uncertainty in scientific computation, for examplestochastic finite elements
- the mathematics of scientific computation[3] (the theoretical side involving mathematical proofs[4]), in particular numerical analysis, the theory of numerical methods (but theory of computation and complexity of algorithms belong to theoretical computer science)
- symbolic computation and computer algebra systems
- computer-assisted research in various areas of mathematics, such as logic (automated theorem proving), discrete mathematics (search for mathematical structures such as groups), number theory (primality testing and factorization), cryptography, and computationalalgebraic topology
- computational linguistics, the use of mathematical and computer techniques in natural languages
- Computational geometry
- Computational topology
- Computational number theory
- Algorithmic information theory
- Algorithmic game theory
Sumber:
Wikipedia
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