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Matches in DBpedia 2015-04 for { <http://dbpedia.org/resource/Levenberg%E2%80%93Marquardt_algorithm> ?p ?o }

• Levenberg%E2%80%93Marquardt_algorithm abstract "In mathematics and computing, the Levenberg–Marquardt algorithm (LMA), also known as the damped least-squares (DLS) method, is used to solve non-linear least squares problems. These minimization problems arise especially in least squares curve fitting.The LMA interpolates between the Gauss–Newton algorithm (GNA) and the method of gradient descent. The LMA is more robust than the GNA, which means that in many cases it finds a solution even if it starts very far off the final minimum. For well-behaved functions and reasonable starting parameters, the LMA tends to be a bit slower than the GNA. LMA can also be viewed as Gauss–Newton using a trust region approach.The LMA is a very popular curve-fitting algorithm used in many software applications for solving generic curve-fitting problems. However, as for many fitting algorithms, the LMA finds only a local minimum, which is not necessarily the global minimum.".
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• Levenberg%E2%80%93Marquardt_algorithm wikiPageID "892446".
• Levenberg%E2%80%93Marquardt_algorithm wikiPageRevisionID "636795141".
• Levenberg%E2%80%93Marquardt_algorithm hasPhotoCollection Levenberg–Marquardt_algorithm.
• Levenberg%E2%80%93Marquardt_algorithm subject Category:Least_squares.
• Levenberg%E2%80%93Marquardt_algorithm subject Category:Optimization_algorithms_and_methods.
• Levenberg%E2%80%93Marquardt_algorithm subject Category:Statistical_algorithms.
• Levenberg%E2%80%93Marquardt_algorithm type Abstraction100002137.
• Levenberg%E2%80%93Marquardt_algorithm type Act100030358.
• Levenberg%E2%80%93Marquardt_algorithm type Activity100407535.
• Levenberg%E2%80%93Marquardt_algorithm type Algorithm105847438.
• Levenberg%E2%80%93Marquardt_algorithm type Event100029378.
• Levenberg%E2%80%93Marquardt_algorithm type OptimizationAlgorithmsAndMethods.
• Levenberg%E2%80%93Marquardt_algorithm type Procedure101023820.
• Levenberg%E2%80%93Marquardt_algorithm type PsychologicalFeature100023100.
• Levenberg%E2%80%93Marquardt_algorithm type Rule105846932.
• Levenberg%E2%80%93Marquardt_algorithm type StatisticalAlgorithms.
• Levenberg%E2%80%93Marquardt_algorithm type YagoPermanentlyLocatedEntity.
• Levenberg%E2%80%93Marquardt_algorithm comment "In mathematics and computing, the Levenberg–Marquardt algorithm (LMA), also known as the damped least-squares (DLS) method, is used to solve non-linear least squares problems. These minimization problems arise especially in least squares curve fitting.The LMA interpolates between the Gauss–Newton algorithm (GNA) and the method of gradient descent. The LMA is more robust than the GNA, which means that in many cases it finds a solution even if it starts very far off the final minimum.".
• Levenberg%E2%80%93Marquardt_algorithm label "Algorithme de Levenberg-Marquardt".
• Levenberg%E2%80%93Marquardt_algorithm label "Algoritmo de Levenberg–Marquardt".
• Levenberg%E2%80%93Marquardt_algorithm label "Algorytm Levenberga-Marquardta".
• Levenberg%E2%80%93Marquardt_algorithm label "Levenberg-Marquardt-Algorithmus".
• Levenberg%E2%80%93Marquardt_algorithm label "Levenberg–Marquardt algorithm".
• Levenberg%E2%80%93Marquardt_algorithm label "Алгоритм Левенберга — Марквардта".
• Levenberg%E2%80%93Marquardt_algorithm sameAs m.03mbsx.
• Levenberg%E2%80%93Marquardt_algorithm sameAs Levenberg–Marquardt_algorithm.
• Levenberg%E2%80%93Marquardt_algorithm wasDerivedFrom Levenberg–Marquardt_algorithm?oldid=636795141.
• Levenberg%E2%80%93Marquardt_algorithm isPrimaryTopicOf Levenberg–Marquardt_algorithm.