A second-order method for unconstrained optimization

DOI10.1007/BF00933149zbMath0373.90068MaRDI QIDQ1245157

K. Appert

Publication date: 1978

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (6)

Training multi-layered neural network with a trust-region based algorithm ⋮ A second-order method for the general nonlinear programming problem ⋮ A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization ⋮ On the use of directions of negative curvature in a modified newton method ⋮ Newton-Krylov type algorithm for solving nonlinear least squares problems ⋮ Implicitly restarted projection algorithm for solving optimization problems

Cites Work

• On the global stabilization of locally convergent algorithms
• Multiplier and gradient methods
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