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searching for Quasi-Newton method 8 found (32 total)

Electrical resistivity tomography (1,389 words) [view diff] exact match in snippet view article find links to article

least-squares inversion of apparent resistivity pseudosections by a quasi-Newton method". Geophysical Prospecting. 44 (1). Wiley: 131–152. Bibcode:1996GeopP

Timeline of numerical analysis after 1945 (1,367 words) [view diff] exact match in snippet view article find links to article

both of the U.S.National Bureau of Standards. Broyden does new quasi-Newton method for finding roots in 1965. The MacCormack method, for the numerical

Projection pursuit regression (1,832 words) [view diff] exact match in snippet view article find links to article

{\displaystyle \beta _{j}} can be found via the Gauss–Newton method—a quasi-Newton method in which the part of the Hessian involving the second derivative

Robot calibration (1,231 words) [view diff] exact match in snippet view article find links to article

problems least-squares descent methods are convenient, e.g. a modified quasi-Newton method. This procedure supplies corrected kinematical parameters for the

Fluid–structure interaction (2,968 words) [view diff] exact match in snippet view article find links to article

the Jacobian from a linear reduced-physics model. The interface quasi-Newton method with approximation for the inverse of the Jacobian from a least-squares

Memetic algorithm (4,064 words) [view diff] exact match in snippet view article find links to article

learning strategies include the hill climbing, Simplex method, Newton/Quasi-Newton method, interior point methods, conjugate gradient method, line search,

Generalized additive model (5,716 words) [view diff] exact match in snippet view article find links to article

likelihood typically requires numerical optimization via a Newton or Quasi-Newton method, with each trial value for the (log) smoothing parameter vector requiring

Data-driven control system (2,978 words) [view diff] exact match in snippet view article find links to article

\rho )^{2}\right].} Given the objective function to minimize, the quasi-Newton method can be applied, i.e. a gradient-based minimization using a gradient