primal-dual algorithm
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Primal-Dual-Active-Set-Algorithmus — Der Primal Dual Active Set Algorithmus ist ein Verfahren zur Lösung eines quadratischen Optimierungsproblems über einer konvexen Teilmenge S eines Hilbertraumes V über der Menge Ω. Inhaltsverzeichnis 1 Das Problem 2 Der Algorithmus … Deutsch Wikipedia
Primal-Dual-Active-Set Algorithmus — Der Primal Dual Active Set Algorithmus ist ein Verfahren zur Lösung eines quadratischen Optimierungsproblems über einer konvexen Teilmenge S eines Hilbertraumes V über der Menge Ω. Inhaltsverzeichnis 1 Das Problem 2 Der Algorithmus 3 Anwendungen … Deutsch Wikipedia
Hungarian algorithm — The Hungarian method is a combinatorial optimization algorithm which solves the assignment problem in polynomial time and which anticipated later primal dual methods. It was developed and published by Harold Kuhn in 1955, who gave the name… … Wikipedia
Constraint satisfaction dual problem — The dual problem is a reformulation of a constraint satisfaction problem expressing each constraint of the original problem as a variable. Dual problems only contain binary constraints, and are therefore solvable by algorithms tailored for such… … Wikipedia
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
Hybrid algorithm (constraint satisfaction) — In constraint satisfaction, a hybrid algorithm solves a constraint satisfaction problem by the combination of two different methods, for example variable conditioning (backtracking, backjumping, etc.) and constraint inference (arc consistency,… … Wikipedia
Data stream clustering — In computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data, financial transactions etc. Data stream clustering is usually studied under the data stream… … Wikipedia
Smallest circle problem — The smallest circle problem or minimum covering circle problem is a mathematical problem of computing the smallest circle that contains all of a given set of points in the Euclidean plane. The corresponding problem in n dimensional space, the… … 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
Optimisation linéaire — En optimisation, qui est une branche des mathématiques, un problème d optimisation linéaire est un problème d optimisation dans lequel on minimise une fonction linéaire sur un polyèdre convexe. La fonction coût et les contraintes peuvent donc… … Wikipédia en Français
Interior point method — Interior point methods (also referred to as barrier methods) are a certain class of algorithms to solve linear and nonlinear convex optimization problems. These algorithms have been inspired by Karmarkar s algorithm, developed by Narendra… … Wikipedia
