A Newton-type curvilinear search method for constrained optimization

DOI10.1016/0022-247X(79)90150-1zbMath0408.65040OpenAlexW2058338821MaRDI QIDQ1258596

C. A. Botsaris

Publication date: 1979

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(79)90150-1

zbMATH Keywords

AlgorithmNewton's MethodConstrained OptimizationCurvilinear Search MethodGradient AlgorithmNonlinear FunctionSteepest Descent Curve

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Mathematical programming (90C99)

Related Items (4)

ODE versus SQP methods for constrained optimization ⋮ A class of differential descent methods for constrained optimization ⋮ A general method for solving constrained optimization problems ⋮ K-K-T multiplier estimates and objective function lower bounds from projective SUMT

Cites Work

• A class of differential descent methods for constrained optimization
• A Newton-type curvilinear search method for optimization
• A curvilinear optimization method based upon iterative estimation of the eigensystem of the Hessian matrix
• Differential gradient methods
• A class of methods for unconstrained minimization based on stable numerical integration techniques
• Minimization of functions having Lipschitz continuous first partial derivatives
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