A numerically stable optimization method based on A homogeneous function

DOI10.1007/BF01580370zbMath0351.90052OpenAlexW2028041065MaRDI QIDQ4121691

K. G. Ramakrishnan, J. S. Kowalik

Publication date: 1976

Published in: Mathematical Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01580370

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Quadratic programming (90C20) Iterative numerical methods for linear systems (65F10) Linear equations (linear algebraic aspects) (15A06)

Related Items (9)

A numerically stable reduced-gradient type algorithm for solving large- scale linearly constrained minimization problems ⋮ A generalized conjugate gradient algorithm for minimization ⋮ On the convergence, invariance, and related aspects of a modification of Huang's algorithm ⋮ New combined method for unconstrained minimization ⋮ Some computational advances in unconstrained optimization ⋮ Imperfect conjugate gradient algorithms for extended quadratic functions ⋮ The effect of data grid size on certain interpolation methods for unconstrained function minimization ⋮ Fast Givens transformtions applied to the homogeneous optimization method ⋮ Differential gradient methods

Cites Work

• Unnamed Item
• A modified homogeneous algorithm for function minimization
• A View of Unconstrained Minimization Algorithms that Do Not Require Derivatives
• The simplex method of linear programming using LU decomposition

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