Area of mathematics
A black and white rendition of the Yale Babylonian Collection's Tablet YBC 7289 (c. 1800–1600 BCE), showing a Babylonian approximation to the square root of 2 (1 24 51 10 w: sexagesimal) in the context of Pythagoras' Theorem for an isosceles triangle. The tablet also gives an example where one side of the square is 30, and the resulting diagonal is 42 25 35 or 42.4263888.
Computational mathematics is the study of the interaction between mathematics and calculations done by a computer.[ 1]
A large part of computational mathematics consists roughly of using mathematics for allowing and improving computer computation in areas of science and engineering where mathematics are useful. This involves in particular algorithm design, computational complexity , numerical methods and computer algebra .
Computational mathematics refers also to the use of computers for mathematics itself. This includes mathematical experimentation for establishing conjectures (particularly in number theory ), the use of computers for proving theorems (for example the four color theorem ), and the design and use of proof assistants .
Areas of computational mathematics
Computational mathematics emerged as a distinct part of applied mathematics by the early 1950s. Currently, computational mathematics can refer to or include:
Computational sciences , also known as scientific computation or computational engineering
Systems sciences , for which directly requires the mathematical models from Systems engineering
Solving mathematical problems by computer simulation as opposed to traditional engineering methods.
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
The mathematics of scientific computation,[ 3] [ 4] in particular numerical analysis , the theory of numerical methods
Computational complexity
Computer algebra and computer algebra systems
Computer-assisted research in various areas of mathematics, such as logic (automated theorem proving ), discrete mathematics , combinatorics , number theory , and computational algebraic topology
Cryptography and computer security , which involve, in particular, research on primality testing , factorization , elliptic curves , and mathematics of blockchain
Computational linguistics , the use of mathematical and computer techniques in natural languages
Computational algebraic geometry
Computational group theory
Computational geometry
Computational number theory
Computational topology
Computational statistics
Algorithmic information theory
Algorithmic game theory
Mathematical economics , the use of mathematics in economics, finance and, to certain extents, of accounting.
Experimental mathematics
Journals
Journals that publish contributions from computational mathematics include
See also
References
^ National Science Foundation , Division of Mathematical Science, Program description PD 06-888 Computational Mathematics , 2006. Retrieved April 2007.
^ "NSF Seeks Proposals on Stochastic Systems" . SIAM News. August 19, 2005. Archived from the original on February 5, 2012. Retrieved February 2, 2015 .
^ Future Directions in Computational Mathematics, Algorithms, and Scientific Software, Report of panel chaired by R. Rheinbold, 1985. Distributed by SIAM .
^ Mathematics of Computation , Journal overview . Retrieved April 2007.
Further reading
Cucker, F. (2003). Foundations of Computational Mathematics: Special Volume . Handbook of Numerical Analysis. North-Holland Publishing. ISBN 978-0-444-51247-5 .
Harris, J. W.; Stocker, H. (1998). Handbook of Mathematics and Computational Science . Springer-Verlag. ISBN 978-0-387-94746-4 .
Hartmann, A.K. (2009). Practical Guide to Computer Simulations . World Scientific. ISBN 978-981-283-415-7 . Archived from the original on February 11, 2009. Retrieved May 3, 2012 .
Nonweiler, T. R. (1986). Computational Mathematics: An Introduction to Numerical Approximation . John Wiley and Sons. ISBN 978-0-470-20260-9 .
Gentle, J. E. (2007). Foundations of Computational Science . Springer-Verlag. ISBN 978-0-387-00450-1 .
White, R. E. (2003). Computational Mathematics: Models, Methods, and Analysis with MATLAB . Chapman and Hall. ISBN 978-1584883647 .
Yang, X. S. (2008). Introduction to Computational Mathematics . World Scientific. ISBN 978-9812818171 .
Strang, G. (2007). Computational Science and Engineering . Wiley. ISBN 978-0961408817 .
External links