Publication | Closed Access
The proof of sufficient descent condition for a new type of conjugate gradient methods
21
Citations
6
References
2014
Year
Numerical AnalysisSearch OptimizationEngineeringVariational AnalysisNew TypeQuadratic OptimizationFunctional AnalysisUnconstrained OptimizationConjugate Gradient MethodsDerivative-free OptimizationClassical FormulaConvergence AnalysisLinear OptimizationSufficient Descent ConditionContinuous OptimizationNon-linear OptimizationInverse ProblemsComputer ScienceConvex OptimizationNew βK Performs
Conjugate gradient methods are effective in solving linear equations and solving non-linear optimization. In this work we compare our new conjugate gradient coefficient βk with classical formula under strong Wolfe line search; our method contains sufficient descent condition. Numerical results have shown that the new βk performs better than classical formula.
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