A variable metric-method for function minimization derived from invariancy to nonlinear scaling

DOI10.1007/BF00933626zbMath0316.90066OpenAlexW2027577454MaRDI QIDQ1221696

Emilio Spedicato

Publication date: 1976

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

Full work available at URL: https://doi.org/10.1007/bf00933626

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Optimality conditions (49Kxx)

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Cites Work

• A bound to the condition number of canonical rank-two corrections and applications to the variable metric method
• Unified approach to quadratically convergent algorithms for function minimization
• Optimal conditioning of self-scaling variable Metric algorithms
• Quasi-Newton Methods and their Application to Function Minimisation
• On a Numerical Instability of Davidon-Like Methods
• N-step conjugate gradient minimization scheme for nonquadratic functions
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