A new spectral conjugate gradient method with descent condition and global convergence property for unconstrained optimization

Keyphrases

• Descent Condition 100%
• Unconstrained Optimization 100%
• Spectral Conjugate Gradient Method 100%
• Global Convergence Property 100%
• Numerical Results 33%
• Result-oriented 33%
• Numerical Experiments 33%
• High Performance 33%
• Central Processing Unit 33%
• Number of Iterations 33%
• Strong Wolfe Line Search 33%
• Large-scale Unconstrained Optimization 33%
• Method Efficiency 33%

Mathematics

• Conjugate Gradient Method 100%
• Unconstrained Optimization 100%
• Convergence Property 100%
• Numerical Experiment 33%
• Unit Time 33%
• Unconstrained Optimization Problem 33%
• Initial Point 33%

Engineering

• Conjugate Gradient Method 100%
• Convergence Property 100%
• Optimisation Problem 33%
• Central Processing Unit 33%
• Numerical Experiment 33%
• Line Search 33%
• Initial Point 33%