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Powell's dog leg method, also called Powell's hybrid method, is an iterative optimisation algorithm for the solution of non-linear least squares problems, introduced in 1970 by Michael J. D. Powell. [1] Similarly to the Levenberg–Marquardt algorithm, it combines the Gauss–Newton algorithm with gradient descent, but it uses an explicit trust ...
In mathematical optimization, a trust region is the subset of the region of the objective function that is approximated using a model function (often a quadratic).If an adequate model of the objective function is found within the trust region, then the region is expanded; conversely, if the approximation is poor, then the region is contracted.
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FC2: (Common Format V2) Machine-level ASCII representation for synchronized (hierarchical) networks of automata. Defined by the Esprit Basic Research Action CONCUR, 1992. Used as an input and exchange format by a number of verification tools, mainly in the area of process algebras. FSP: Finite State Processes language defined at Imperial College.
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LMA can also be viewed as Gauss–Newton using a trust region approach. The algorithm was first published in 1944 by Kenneth Levenberg, [1] while working at the Frankford Army Arsenal. It was rediscovered in 1963 by Donald Marquardt, [2] who worked as a statistician at DuPont, and independently by Girard, [3] Wynne [4] and Morrison. [5]
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