Davidon-Fletcher-Powell method

Davidon-Fletcher-Powell method
метод Дэвидона-Флетчера-Пауэлла

Авиасловарь. . 2004.

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  • Davidon–Fletcher–Powell formula — The Davidon–Fletcher–Powell formula (or DFP; named after William C. Davidon, Roger Fletcher, and Michael J. D. Powell) finds the solution to the secant equation that is closest to the current estimate and satisfies the curvature condition (see… …   Wikipedia

  • Davidon-Fletcher-Powell formula — The Davidon Fletcher Powell formula (DFP) finds the solution to the secant equation that is closest to the current estimate and satisfies the curvature condition (see below). It was the first quasi Newton method which generalize the secant method …   Wikipedia

  • Michael J. D. Powell — Michael James David Powell FRS, FIMA (London, 1936 – ) is a British mathematics Professor, retired from Cambridge University, where he earned his bachelors degree and, in 1979, his D.Sc. [1]. He is known for his extensive work in numerical… …   Wikipedia

  • Quasi-Newton method — In optimization, quasi Newton methods (also known as variable metric methods) are well known algorithms for finding local maxima and minima of functions. Quasi Newton methods are based on Newton s method to find the stationary point of a function …   Wikipedia

  • Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …   Wikipedia

  • Quasi-Newton-Verfahren — sind eine Klasse von numerischen Verfahren zur Lösung nichtlinearer Minimierungsprobleme. Die Verfahren basieren auf dem Newton Verfahren, berechnen die Inverse der Hesse Matrix jedoch nicht direkt, sondern nähern sie lediglich an, um den… …   Deutsch Wikipedia

  • Sqp — Quasi Newton Verfahren sind eine Klasse von numerischen Verfahren zur Lösung nichtlinearer Minimierungsprobleme. Die Verfahren basieren auf dem Newton Verfahren, berechnen die Inverse der Hesse Matrix jedoch nicht direkt, sondern nähern sie… …   Deutsch Wikipedia

  • List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …   Wikipedia

  • Cholesky decomposition — In linear algebra, the Cholesky decomposition or Cholesky triangle is a decomposition of a Hermitian, positive definite matrix into the product of a lower triangular matrix and its conjugate transpose. It was discovered by André Louis Cholesky… …   Wikipedia

  • List of mathematics articles (D) — NOTOC D D distribution D module D D Agostino s K squared test D Alembert Euler condition D Alembert operator D Alembert s formula D Alembert s paradox D Alembert s principle Dagger category Dagger compact category Dagger symmetric monoidal… …   Wikipedia

  • Charles George Broyden — (February 3, 1933 – May 20, 2011) was a mathematician who specialized in optimization problems and numerical linear algebra.[1][2][3] While a physicist working at English Electric Company from 1961–1965, he adapted the Davidon–Fletcher–Powell… …   Wikipedia


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