Timeline of scientific computing

From Wikipedia, the free encyclopedia

The following is a timeline of scientific computing, also known as computational science.

Before modern computers[]

18th century[]

  • Simpson rediscovers Simpson rule, a century later.
  • 1733 – The French naturalist Comte de Buffon poses his needle problem.[1][2]
  • Euler comes up with a simple numerical method for integrands.[3][4][5]

19th century[]

  • First formulation of Gram-Schmidt orthogonalisation by Laplace,[6] to be further improved decades later.[7][8][9][10]
  • Babbage in 1822, began work on a machine made to compute/calculate values of polynomial functions automatically by using the method of finite differences. This was eventually called the Difference engine.
  • Lovelace's note G on the Analytical Engine (1842) describes an algorithm for generating Bernoulli numbers. It is considered the first algorithm ever specifically tailored for implementation on a computer, and thus the first-ever computer programme.[11][12] The engine was never completed, however, so her code was never tested.[13]
  • Adams-Bashforth method published.[14]
  • In applied mathematics, Jacobi develops technique for solving numerical equations.[15][16][17]
  • Gauss Seidel first published.
  • To help with computing tides, Harmonic Analyser is built in 1886.

1900s (decade)[]

1910s (decade)[]

1920s[]

1930s[]

This decade marks the first major strides to a modern computer, and hence the start of the modern era.

1940s[]

  • 1947 – Monte Carlo simulation (voted one of the top 10 algorithms of the 20th century)[citation needed] invented at Los Alamos by von Neumann, Ulam and Metropolis.[25][26][27]
  • George Dantzig introduces the simplex method (voted one of the top 10 algorithms of the 20th century)[citation needed] in 1947.[28]
  • Ulam and von Neumann introduce the notion of cellular automata.[29]
  • Turing formulated the LU decomposition method.[30]
  • A. W. H. Phillips invents the MONIAC hydraulic computer at LSE, better known as "Phillips Hydraulic Computer".[31][32]
  • First hydro simulations occurred at Los Alamos.[33][34]

1950s[]

1960s[]

1970s[]

1980s[]

1990s[]

2000s[]

2010s[]


See also[]

References[]

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  2. ^ Buffon, G. "Essai d'arithmétique morale." Histoire naturelle, générale er particulière, Supplément 4, 46-123, 1777; according to Weisstein, Eric W. "Buffon's Needle Problem." From MathWorld--A Wolfram Web Resource. 20 Dec 2012
  3. ^ Euler, L. Institutionum calculi integralis. Impensis Academiae Imperialis Scientiarum, 1768.
  4. ^ Butcher, John C. (2003), Numerical Methods for Ordinary Differential Equations, New York: John Wiley & Sons, ISBN 978-0-471-96758-3.
  5. ^ Hairer, Ernst; Nørsett, Syvert Paul; Wanner, Gerhard (1993), Solving ordinary differential equations I: Nonstiff problems, Berlin, New York: Springer-Verlag, ISBN 978-3-540-56670-0.
  6. ^ Laplace, PS. (1816). Théorie Analytique des Probabilités :First Supplement, p. 497ff.
  7. ^ Gram, J. P. (1883). "Ueber die Entwickelung reeler Funtionen in Reihen mittelst der Methode der kleinsten Quadrate". JRNL. Für die reine und angewandte Math. 94: 71–73.
  8. ^ Schmidt, E. "Zur Theorie der linearen und nichtlinearen Integralgleichungen. I. Teil: Entwicklung willkürlicher Funktionen nach Systemen vorgeschriebener". Math. Ann. 63: 1907.
  9. ^ Earliest Known Uses of Some of the Words of Mathematics (G). As of Aug 2017.
  10. ^ Farebrother, RW (1988). Linear Least Squares Computations. CRC Press. ISBN 9780824776619. Retrieved 19 August 2017.
  11. ^ Simonite, Tom (24 March 2009). "Short Sharp Science: Celebrating Ada Lovelace: the 'world's first programmer'". New Scientist. Retrieved 14 April 2012.
  12. ^ Tom Stoppard’s “Arcadia,” at Twenty. By Brad Leithauser. The New Yorker, August 8, 2013.
  13. ^ Kim, Eugene Eric; Toole, Betty Alexandra (May 1999). "Ada and the first computer". Scientific American. 280 (5): 70–71. Bibcode:1999SciAm.280e..76E. doi:10.1038/scientificamerican0599-76.
  14. ^ Bashforth, Francis (1883), An Attempt to test the Theories of Capillary Action by comparing the theoretical and measured forms of drops of fluid. With an explanation of the method of integration employed in constructing the tables which give the theoretical forms of such drops, by J. C. Adams, Cambridge.
  15. ^ Jacobi’s Ideas on Eigenvalue Computation in a modern context, Henk van der Vorst.
  16. ^ Jacobi method, Encyclopedia of Mathematics.
  17. ^ The Early History of Matrix Iterations: With a Focus on the Italian Contribution, Michele Benzi, 26 October 2009. SIAM Conference on Applied Linear Algebra, Monterey Bay – Seaside, California.
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  20. ^ Commandant Benoit (1924). "Note sur une méthode de résolution des équations normales provenant de l'application de la méthode des moindres carrés à un système d'équations linéaires en nombre inférieur à celui des inconnues (Procédé du Commandant Cholesky)". Bulletin Géodésique 2: 67–77.
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  29. ^ Von Neumann, J., Theory of Self-Reproduiing Automata, Univ. of Illinois Press, Urbana, 1966.
  30. ^ A. M. Turing, Rounding-off errors in matrix processes. Quart. J Mech. Appl. Math. 1 (1948), 287–308 (according to Poole, David (2006), Linear Algebra: A Modern Introduction (2nd ed.), Canada: Thomson Brooks/Cole, ISBN 0-534-99845-3.) .
  31. ^ The computer model that once explained the British economy. Larry Elliott, The Guardian, Thursday 8 May 2008.
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  39. ^ Cornelius Lanczos, Solution of Systems of Linear Equations by Minimized Iterations, J. Res. Natl. Bur. Stand. 49, 33-53 (1952).
  40. ^ Cornelius Lanczos, An Iteration Method for the Solution of the Eigenvalue Problem of Linear Differential and Integral Operators, J. Res. Natl. Bur. Stand. 45, 255-282 (1950).
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