SIAM Journal on Optimization· 2013Q1
A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
- 306citations
- Q1SCImago
- 2013year
Short summary
A new family of conjugate gradient methods for unconstrained optimization is proposed, featuring a direction closest to the scaled memoryless BFGS method and an improved Wolfe line search that avoids numerical drawbacks and ensures global convergence.
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Numerical AnalysisMathematics