- BFGS
- Broyden-Fletcher-Goldfarb-Shanno [algorithm]
Medical dictionary. 2011.
BFGS
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BFGS — En mathématiques, la méthode de Broyden Fletcher Goldfarb Shanno (BFGS) est une méthode permettant de résoudre un problème d optimisation non linéaire sans contraintes. La méthode BFGS est souvent implémentée comme un algorithme à directions de… … Wikipédia en Français
BFGS method — In mathematics, the Broyden Fletcher Goldfarb Shanno (BFGS) method is a method to solve an unconstrained nonlinear optimization problem. The BFGS method is derived from the Newton s method in optimization, a class of hill climbing optimization… … Wikipedia
BFGS — • Broyden Fletcher Goldfarb Shanno [algorithm] … Dictionary of medical acronyms & abbreviations
L-BFGS — and L BFGS B are software packages for solving nonlinear optimization problems. They are designed for large scale applications in which the Hessian matrix is not available or is expensive to compute. To accelerate convergence, the two codes… … Wikipedia
L-BFGS — y L BFGS B son dos métodos de optimización quasi Newton de funciones con un gran número de parámetros o de una gran complejidad. Se trata de un método que hace un uso limitado de la memoria (usa mucha menos memoria que otros algoritmos para el… … Wikipedia Español
Méthode du gradient conjugué — En analyse numérique, la méthode du gradient conjugué est un algorithme pour résoudre des systèmes d équations linéaires dont la matrice est définie positive (et par conséquent symétrique). Cette méthode, imaginée en 1950 simultanément par… … Wikipédia en Français
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
Nonlinear conjugate gradient method — In numerical optimization, the nonlinear conjugate gradient method generalizes the conjugate gradient method to nonlinear optimization. For a quadratic function : The minimum of f is obtained when the gradient is 0: . Whereas linear conjugate… … 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
Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… … Wikipedia
