A Newton-type curvilinear search method for optimization

From MaRDI portal
Publication:1227936

DOI10.1016/0022-247X(76)90246-8zbMath0331.49026OpenAlexW2015796677MaRDI QIDQ1227936

C. A. Botsaris, David H. Jacobson

Publication date: 1976

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0022-247x(76)90246-8




Related Items (19)

Calibration by optimization without using derivativesSome effective methods for unconstrained optimization based on the solution of systems of ordinary differential equationsLinear quadratic dynamic programming for water reservoir managementAn efficient curvilinear method for the minimization of a nonlinear function subject to linear inequality constraintsA class of differential descent methods for constrained optimizationOptimal homotopy asymptotic method-least square for solving nonlinear fractional-order gradient-based dynamic system from an optimization problemCurvilinear path steplength algorithms for minimization which use directions of negative curvatureOn orthogonal trajectories and optimizationA curvilinear optimization method based upon iterative estimation of the eigensystem of the Hessian matrixA new arc algorithm for unconstrained optimizationDifferential gradient methodsA class of methods for unconstrained minimization based on stable numerical integration techniquesA Newton-type curvilinear search method for constrained optimizationNonmonotonic reduced projected Hessian method via an affine scaling interior modified gradient path for bounded-constrained optimizationA new super-memory gradient method with curve search ruleAdaptive Douglas--Rachford Splitting Algorithm from a Yosida Approximation StandpointNote on global convergence of ODE methods for unconstrained optimizationOn the convergence of curvilinear search algorithms in unconstrained optimizationK-K-T multiplier estimates and objective function lower bounds from projective SUMT



Cites Work


This page was built for publication: A Newton-type curvilinear search method for optimization