A conjugate direction gradient method with reconnaissance steps for unconstrained minimization

DOI10.1016/0898-1221(88)90009-0zbMath0661.65062OpenAlexW2078635075MaRDI QIDQ1113622

S. H. Smith

Publication date: 1988

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(88)90009-0

zbMATH Keywords

global convergenceunconstrained minimizationFletcher-Reeves methodline searchesconjugate direction type gradient methodreconnaissance pointsRosenbrock test function

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Cites Work

• Function minimization by conjugate gradients
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