Dantzig algorithm

См. также в других словарях:

• Dantzig–Wolfe decomposition — is an algorithm for solving linear programming problems with special structure. It was originally developed by George Dantzig and Phil Wolfe and initially published in 1960[1]. Many texts on linear programming have sections dedicated to… …   Wikipedia

• Dantzig — Dantzig, an altername spelling of Danzig (Gdańsk, Poland), may also refer to: People Tobias Dantzig (1884 – 1956), mathematician from Latvia, father of George Dantzig George Dantzig (1914 – 2005), American mathematician who introduced the simplex …   Wikipedia

• Dantzig, George — ▪ 2006       American mathematician (b. Nov. 8, 1914, Portland, Ore. d. May 13, 2005, Stanford, Calif.), devised the simplex algorithm, a method for solving problems that involve numerous conditions and variables, and in the process founded the… …   Universalium

• Criss-cross algorithm — This article is about an algorithm for mathematical optimization. For the naming of chemicals, see crisscross method. The criss cross algorithm visits all 8 corners of the Klee–Minty cube in the worst case. It visits 3 additional… …   Wikipedia

• Simplex algorithm — In mathematical optimization theory, the simplex algorithm, created by the American mathematician George Dantzig in 1947, is a popular algorithm for numerical solution of the linear programming problem. The journal Computing in Science and… …   Wikipedia

• George Dantzig — George Bernard Dantzig (Nov 8 1914 ndash; May 13 2005) was an American mathematician, and the Professor Emeritus of Transportation Sciences and Professor of Operations Research and of Computer Science at Stanford. George Dantzig is known as the… …   Wikipedia

• Levenberg–Marquardt algorithm — In mathematics and computing, the Levenberg–Marquardt algorithm (LMA)[1] provides a numerical solution to the problem of minimizing a function, generally nonlinear, over a space of parameters of the function. These minimization problems arise… …   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

• Timeline of algorithms — The following timeline outlines the development of algorithms (mainly mathematical recipes ) since their inception.Before Modern Era* Before Writing about recipes (on cooking, rituals, agriculture and other themes) * c. 1600 BC Babylonians… …   Wikipedia

• Linear programming — (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships.… …   Wikipedia

• Mathematical optimization — For other uses, see Optimization (disambiguation). The maximum of a paraboloid (red dot) In mathematics, computational science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to… …   Wikipedia