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Results 1 - 10 of 20 for  Wikipedia / Karush–Kuhn–Tucker conditions / Wikipedia    (3565152 articles)

Karush–Kuhn–Tucker conditions print that page

In mathematics , the Karush–Kuhn–Tucker Kuhn–Tucker Tucker ( KKT ) conditions (also known as the Kuhn–Tucker Tucker conditions) are necessary for a solution in nonlinear programming to be optimal , provided that some regularity conditions are satisfied. Allowing inequality

wikipedia.org | 2011/9/8 7:10:57

Dual problem print that page

In constrained optimization , it is often possible to convert the primal problem (i.e. the original form of the optimization problem) to a dual form, which is termed a dual problem . Usually "dual problem" refers to the "Lagrangian dual problem" but other dual problems are used, for example

wikipedia.org | 2011/5/25 0:06:14

Mathematical optimization print that page

In mathematics and computational science , mathematical optimization (alternatively, optimization or mathematical programming ) refers to the selection of a best element from some set of available alternatives. In the simplest case, this means solving problems in which one seeks to maximize

wikipedia.org | 2011/10/2 14:08:31

William Karush print that page

William Karush From Wikipedia, the free encyclopedia Jump to: navigation , search William Karush Born March 1, 1917 ( 1917-03-01 ) Died February 22, 1997 (aged 79) Known for Contribution to Karush Kuhn Tucker conditions William Karush (1917-03-01 – 1997

wikipedia.org | 2010/9/25 0:26:07

Harold W. Kuhn print that pageTimeline of Harold W. Kuhn

attention of the Nobel Prize committee that led to Nash's 1994 Nobel Prize in Economics. [ 2 ] Kuhn and Nash both had long associations and collaborations with Albert W. Tucker , who was Nash's dissertation advisor. Kuhn co-edited The Essential John Nash , [ 3 ] and is credited as the

wikipedia.org | 2011/8/9 20:57:08

Optimization (mathematics) print that page

include: Richard Bellman Ronald A. Howard Leonid Kantorovich Narendra Karmarkar William Karush Leonid Khachiyan Bernard Koopman

wikipedia.org | 2011/5/7 16:27:07

Lagrange multiplier print that page

Lagrange_very_simple

In mathematical optimization , the method of Lagrange multipliers (named after Joseph Louis Lagrange ) provides a strategy for finding the maxima and minima of a function subject to constraints . For instance (see Figure 1), consider the optimization problem maximize subject to We introduce

Support vector machine print that page

A support vector machine ( SVM ) is a concept in computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis . The standard SVM takes a set of input data and predicts, for each given input, which

wikipedia.org | 2011/10/5 11:26:43

Multidisciplinary design optimization print that page

MDO allows designers to incorporate all relevant disciplines simultaneously. The optimum of the simultaneous problem is superior to the design found by optimizing each discipline sequentially, since it can exploit the interactions between the disciplines. However, including all disciplines

wikipedia.org | 2010/9/27 2:20:09

Lagrange multipliers print that page

Lagrange_very_simple

In mathematical optimization , the method of Lagrange multipliers (named after Joseph Louis Lagrange ) provides a strategy for finding the maxima and minima of a function subject to constraints . For instance (see Figure 1 on the right), consider the optimization problem maximize subject